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4th International Conference on Learning Representations, ICLR 2016

作者： Tai, Cheng Xiao, Tong Zhang, Yi Wang, Xiaogang Weinan, E. Program in Applied and Computational Mathematics Princeton University United States Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor United States

Large CNNs have delivered impressive performance in various computer vision applications. But the storage and computation requirements make it problematic for deploying these models on mobile devices. Recently, tensor decompositions have been used for speeding up CNNs. In this paper, we further develop the tensor decomposition technique. We propose a new algorithm for computing the low-rank tensor decomposition for removing the redundancy in the convolution kernels. The algorithm finds the exact global optimizer of the decomposition and is more effective than iterative methods. Based on the decomposition, we further propose a new method for training low-rank constrained CNNs from scratch. Interestingly, while achieving a significant speedup, sometimes the low-rank constrained CNNs delivers significantly better performance than their non-constrained counterparts. On the CIFAR-10 dataset, the proposed low-rank NIN model achieves 91.31% accuracy (without data augmentation), which also improves upon state-of-the-art result. We evaluated the proposed method on CIFAR-10 and ILSVRC12 datasets for a variety of modern CNNs, including AlexNet, NIN, VGG and GoogleNet with success. For example, the forward time of VGG-16 is reduced by half while the performance is still comparable. Empirical success suggests that low-rank tensor decompositions can be a very useful tool for speeding up large CNNs. © ICLR 2016: San Juan, Puerto Rico. All Rights Reserved.

关键词： Iterative methods

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Meal Image Recognition and Healthy Meal Combination Recommendation System Integrated with Generative Artificial Intelligence 6

Meal Image Recognition and Healthy Meal Combination Recommen...

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6th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2024

作者： Chang, Chin-Chih Wei, Chi-Hung Hsiao, Sean Yang, Chyuan-Huei Thomas Chung Hua University Department of Computer Science and Information Engineering Hsinchu Taiwan Chung Hua University Ph.D. Program in Engineering Science Hsinchu Taiwan Chung Hua University Program in Applied Foreign Language and Smart Commerce Hsinchu Taiwan School of Information Engineering Shandong Vocational and Technical University of International Studies Shandong China

ISBN: (纸本)9798350396133

People increasingly prioritize a balanced diet to enhance well-being, yet making informed dietary choices remains challenging amidst the abundance of options. To address this, we developed a meal image recognition and healthy meal combination recommender system, integrating generative artificial intelligence (AI). Convolutional neural networks were used for precise meal image recognition to identify diverse food items. The generative AI-augmented recommendation engine offers personalized meal suggestions aligned with nutritional goals and dietary preferences, utilizing a nutrition knowledge base to ensure overall well-being. The system's feasibility was validated, illustrating its excellence in meal recognition accuracy, recommendation diversity, and user engagement. By integrating generative AI, the system shows its potential to enhance dietary recommendations and public health. © 2024 IEEE.

关键词： Generative adversarial networks

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A lower bound on the complexity of approximate nearest-neighbor searching on the Hamming cube 99

A lower bound on the complexity of approximate nearest-neigh...

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Proceedings of the thirty-first annual ACM symposium on Theory of Computing

作者： Amit Chakrabarti Bernard Chazelle Benjamin Gum Alexey Lvov Department of Computer Science Princeton University Department of Computer Science Princeton University and NEC Research Institute Program in Applied and Computational Mathematics Princeton University

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The estrous cycle modulates hippocampal spine dynamics, dendritic processing, and spatial coding

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Neuron 2025年

作者： Wolcott, Nora S. Redman, William T. Karpinska, Marie Jacobs, Emily G. Goard, Michael J. Department of Molecular Cellular and Developmental Biology University of California Santa Barbara Santa Barbara 93106 CA United States Interdepartmental Graduate Program in Dynamical Neuroscience University of California Santa Barbara Santa Barbara 93106 CA United States Intelligent Systems Center Johns Hopkins University Applied Physics Laboratory Laurel 20723 MD United States Department of Computer Science University of California Santa Barbara Santa Barbara 93106 CA United States Department of Psychological & Brain Sciences University of California Santa Barbara Santa Barbara 93106 CA United States Ann S. Bowers Women's Brain Health Initiative University of California Santa Barbara Santa Barbara 93106 CA United States Neuroscience Research Institute University of California Santa Barbara Santa Barbara 93106 CA United States

Histological evidence suggests that the estrous cycle exerts a powerful influence on CA1 neurons in the mammalian hippocampus. Decades have passed since this landmark observation, yet how the estrous cycle shapes dendritic spine dynamics and hippocampal spatial coding in vivo remains a mystery. Here, we used a custom hippocampal microperiscope and two-photon calcium imaging to track CA1 pyramidal neurons in female mice across multiple cycles. Estrous cycle stage had a potent effect on spine dynamics, with spine density peaking during proestrus when estradiol levels are highest. These morphological changes coincided with greater somatodendritic coupling and increased infiltration of back-propagating action potentials into the apical dendrite. Finally, tracking CA1 response properties during navigation revealed greater place field stability during proestrus, evident at both the single-cell and population levels. These findings demonstrate that the estrous cycle drives large-scale structural and functional plasticity in hippocampal neurons essential for learning and memory. © 2025 The Author(s)

关键词： dendritic integration estradiol estrous cycle hippocampus multiphoton imaging neuroendocrine place cells spine morphology

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Multiagent-Based Model Integration

Multiagent-Based Model Integration

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Web Intelligence and Intelligent Agent Technology Workshops (WI-IAT)

作者： Ana Carolina M. Pilatti De Paula Braulio C. Avila Edson Scalabrin Fabricio Enembreck Graduate Program in Applied Computer Science-PPGIA Pontifical Catholic University of Paraná Curitiba Parana Brazil

This paper presents a distributed data mining technique based on a multiagent environment, called SMAMDD (multiagent system for distributed data mining), which uses model integration. Model integration consists in the amalgamation of local models into a global, consistent one. In each subset, agents perform mining tasks locally and, afterwards, results are merged into a global model. In order to achieve that, agents cooperate by exchanging messages, aiming to improve the process of knowledge discover generating accurate results. The multiagent system for distributed data mining proposed in this paper has been compared with classical machine learning algorithms which are based on model integration as well, simulating a distributed environment. The results obtained show that SMAMDD can produce highly accurate data models

关键词： Distributed decision making Data mining Multiagent systems Machine learning algorithms Internet Distributed databases Intelligent agent computer science Computational modeling Data models

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STYLISTIC ANALYSIS OF PAINTINGS USING WAVELETS AND MACHINE LEARNING

STYLISTIC ANALYSIS OF PAINTINGS USING WAVELETS AND MACHINE L...

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European signal processing conference

作者： Sina Jafarpour Guengor Polatkan Eugene Brevdo Shannon Hughes Andrei Brasoveanu Ingrid Daubechies Departments of Electrical Engineering Computer Science and Mathematics and the Program in Applied and Computational Mathematics Princeton NJ 08544

ISBN: (纸本)9781617388767

Wavelet transforms and machine learning tools can be used to assist art experts in the stylistic analysis of paintings. A dual-tree complex wavelet transform, Hidden Markov Tree modeling and Random Forest classifiers are used here for a stylistic analysis of Vincent van Gogh's paintings with results on two stylometry challenges that concern "dating, resp. extracting distinguishing features".

关键词： Support vector machines Abstracts Image resolution Radio frequency

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Extending the UMIOP specification for reliable multicast in CORBA

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OTM Confederated International Conferences, CoopIS, DOA, and ODBASE 2005 - On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE

作者： Bessani, Alysson Neves Da Silva Fraga, Joni Lung, Lau Cheuk DAS - Departamento de Automação e Sistemas UFSC - Universidade Federal de Santa Catarina Florianopolis - Santa Catarina Brazil Graduate Program in Applied Computer Science Pontifical Catholic University of Paraná Curitiba - Paraná Brazil

ISBN: (纸本)3540297367

OMG has published an unreliable multicast specification for distributed applications developed in CORBA (UMIOP). This mechanism can be implemented based on IP Multicast, a best-effort protocol, which provides no guarantees about the message delivery. However, many fault-tolerant or groupware applications demand more restrictive agreement and ordering guarantees (for instance, reliable multicast with FIFO, causal or total ordering) from the available support for group communication. OMG has not yet provided any specification for supporting those requirements. This paper presents an important contribution towards this direction. We proposed the ReMIOP, an extension to the UMIOP/OMG protocol, for the conception of a reliable multicast mechanism in CORBA middleware. Performance measures comparing ReMIOP, UMIOP and UDP sockets for IP multicast communication are presented in order to evidence the costs for adding reliable and unreliable multicast in middleware level. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Multicasting

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Dossier: Decentralized Trust Model Towards a Decentralized Demand

Dossier: Decentralized Trust Model Towards a Decentralized D...

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International Conference on computer Supported Cooperative Work in Design

作者： Vanderson Botelho Kelvin V. Kredens Juliano V. Martins Bráulio C. Ávila Edson E. Scalabrin Graduate Program on Applied Computer Science PPGIA Pontifical Catholic University of Paraná Curitiba PR Brazil

ISBN: (纸本)9781538614839

This paper presents a trust model that aggregates multiple sources of information, such as: testimonies, context, social information, preconception, reputation, and proposes a new data structure, called Dossier. The aim is to raise the success rate that consumer agents have when contracting provider agents. To reach this objective we make two hypotheses: (i) every consumer agent is able to measure and inform the quality of a service they receive from a provider agent; (ii) the Dossier is a data structure that allows the evaluated agent himself to keep locally the history of feedbacks received without modification or omission that benefits him. The model-that uses the Dossier structure-reduces some weak points of trust models that rely on the direct interaction between provider and consumer agents (direct trust) or those that rely on testimony obtained from client agents (indirect trust). The Dossier model allows us effectively to use the agent approach to build decentralized IT solutions, where control and data-of every application encapsulated in an agent-can actually be distributed logically and physically. The comparative analysis showed that the Dossier model has a behavior equivalent to or superior to the considered models (FIRE, TRAVOS, MARSH and Central) and that such a model can make the agents more efficient in choosing their partners. The reason for this is that the reputation of a given service provider agent is based on the reputation it has among the totality of consumer agents that used its services.

关键词： History Data structures Data models Analytical models Games Multi-agent systems Mathematical model

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Integrating the ROMIOP and ETF specifications for atomic multicast in CORBA

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OTM Confederated International Conferences, CoopIS, DOA, and ODBASE 2005 - On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE

作者： Borusch, Daniel Lung, Lau Cheuk Bessani, Alysson Neves Da Silva Fraga, Joni Graduate Program in Applied Computer Science Pontifical Catholic University of Paraná Curitiba - PR Brazil DAS - Departamento de Automação e Sistemas UFSC - Universidade Federal de Santa Catarina Florianópolis - SC Brazil

ISBN: (纸本)3540297367

OMG published a draft specification for a reliable ordered multicast inter-ORB protocol to be used by distributed applications developed in CORBA (ROMIOP). This specification was made to attend the demand of applications that needed more restrictive guarantees on reliability and ordering, since there already has a specification without these resources (UMIOP). This paper presents how ROMIOP was implemented, as well as modifications that were made on the specification to make possible to implement it according to the ETF (Extensible Transport Framework) specification. Performance measures were made comparing ROMIOP with others protocols, like UMIOP, to show its characteristics and its cost. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Multicasting

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Heart wall myofibers are arranged in minimal surfaces to optimize organ function (vol 109, pg 9253, 2012)

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PROCEEDINGS OF THE NATIONAL ACADEMY OF scienceS OF THE UNITED STATES OF AMERICA 2012年第49期109卷 20166-20166页

作者： Savadjiev, Peter Strijkers, Gustav J. Bakermans, Adrianus J. Piuze, Emmanuel Zucker, Steven W. Siddiqi, Kaleem [a]Psychiatry Neuroimaging Laboratory and Laboratory for Mathematics in Imaging Brigham and Women’s Hospital Harvard Medical School Boston MA 02215 [b]Department of Biomedical Engineering Eindhoven University of Technology 5600 MB Eindhoven The Netherlands [c]School of Computer Science and Centre for Intelligent Machines McGill University Montréal Canada H3A 2A7 and [d]Departments of Computer Science and Biomedical Engineering and Program in Applied Mathematics Yale University New Haven CT 06520-8285

Heart wall myofibers wind as helices around the ventricles, strengthening them in a manner analogous to the reinforcement of concrete cylindrical columns by spiral steel cables [Richart FE, et al. (1929) Univ of Illinois, Eng Exp Stn Bull 190]. A multitude of such fibers, arranged smoothly and regularly, contract and relax as an integrated functional unit as the heart beats. To orchestrate this motion, fiber tangling must be avoided and pumping should be efficient. Current models of myofiber orientation across the heart wall suggest groupings into sheets or bands, but the precise geometry of bundles of myofibers is unknown. Here we show that this arrangement takes the form of a special minimal surface, the generalized helicoid [Blair DE, Vanstone JR (1978) Minimal Submanifolds and Geodesics 13-16], closing the gap between individual myofibers and their collective wall structure. The model holds across species, with a smooth variation in its three curvature parameters within the myocardial wall providing tight fits to diffusion magnetic resonance images from the rat, the dog, and the human. Mathematically it explains how myofibers are bundled in the heart wall while economizing fiber length and optimizing ventricular ejection volume as they contract. The generalized helicoid provides a unique foundation for analyzing the fibrous composite of the heart wall and should therefore find applications in heart tissue engineering and in the study of heart muscle diseases. [PUBLICATION ABSTRACT]

关键词： myocardium myofiber geometry diffusion tensor MRI

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