Despite remarkable progress in knowledge transfer across visual and textual domains, extending these achievements to indoor localization, particularly for learning transferable representations among Received Signal St...
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ISBN:
(数字)9798331510831
ISBN:
(纸本)9798331510848
Despite remarkable progress in knowledge transfer across visual and textual domains, extending these achievements to indoor localization, particularly for learning transferable representations among Received Signal Strength (RSS) fingerprint datasets, remains a challenge. This is due to inherent discrepancies among these RSS datasets, largely including variations in building structure, the input number and disposition of WiFi anchors 1 1 An anchor describes a radio-emitting source. (e.g., WiFi access points, Bluetooth beacons.). Accordingly, specialized networks, which were deprived of the ability to discern transferable representations, readily incorporate environment-sensitive clues into the learning process, hence limiting their potential when applied to specific RSS datasets. In this work, we propose a plug-and-play (PnP) framework of knowledge transfer, facilitating the exploitation of transferable representations for specialized networks directly on target RSS datasets through two main phases. Initially, we design an Expert Training phase, which features multiple surrogate generative teachers, all serving as a global adapter that homogenizes the input disparities among independent source RSS datasets while preserving their unique characteristics. In a subsequent Expert Distilling phase, we continue introducing a triplet of underlying constraints that requires minimizing the differences in essential knowledge between the specialized network and surrogate teachers through refining its representation learning on the target dataset. This process implicitly fosters a representational alignment in such a way that is less sensitive to specific environmental dynamics. Extensive experiments conducted on three benchmark WiFi RSS fingerprint datasets underscore the effectiveness of the framework that significantly exerts the full potential of specialized networks in localization 2 2 Our code is available at https://***/Minh-Son-Nguyen/RSS_TL..
The proceedings contain 353 papers. The topics discussed include: random subwindows for robust image classification;Bayesian object detection in dynamic scenes;pixels that sound;a rational function lens distortion mod...
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ISBN:
(纸本)0769523722
The proceedings contain 353 papers. The topics discussed include: random subwindows for robust image classification;Bayesian object detection in dynamic scenes;pixels that sound;a rational function lens distortion model for general cameras;robust boosting for learning from few examples;optimization design of cascaded classifiers;pruning training sets for learning of object categories;computervision for music identification;restoration and recognition in a loop;robust face detection with multi-class boosting;learning with constrained and unlabelled data;real-time non-rigid surface detection;evaluating image retrieval;towards complete generic camera calibration;and unsupervised learning of object features from video sequences.
The proceedings contain 353 papers. The topics discussed include: random subwindows for robust image classification;Bayesian object detection in dynamic scenes;pixels that sound;a rational function lens distortion mod...
详细信息
ISBN:
(纸本)0769523722
The proceedings contain 353 papers. The topics discussed include: random subwindows for robust image classification;Bayesian object detection in dynamic scenes;pixels that sound;a rational function lens distortion model for general cameras;robust boosting for learning from few examples;optimization design of cascaded classifiers;pruning training sets for learning of object categories;computervision for music identification;restoration and recognition in a loop;robust face detection with multi-class boosting;learning with constrained and unlabelled data;real-time non-rigid surface detection;evaluating image retrieval;towards complete generic camera calibration;and unsupervised learning of object features from video sequences.
Identifying predictive covariates, which forecast individual treatment effectiveness, is crucial for decision-making across different disciplines such as personalized medicine. These covariates, referred to as biomark...
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ISBN:
(数字)9798331510831
ISBN:
(纸本)9798331510848
Identifying predictive covariates, which forecast individual treatment effectiveness, is crucial for decision-making across different disciplines such as personalized medicine. These covariates, referred to as biomarkers, are extracted from pretreatment data, often within randomized controlled trials, and should be distinguished from prognostic biomarkers, which are independent of treatment assignment. Our study focuses on discovering predictive imaging biomarkers, specific image features, by leveraging pretreatment images to uncover new causal relationships. Unlike laborintensive approaches relying on handcrafted features prone to bias, we present a novel task of directly learning predictive features from images. We propose an evaluation protocol to assess a model's ability to identify predictive imaging biomarkers and differentiate them from purely prognostic ones by employing statistical testing and a comprehensive analysis of image feature attribution. We explore the suitability of deep learning models originally developed for estimating the conditional average treatment effect (CATE) for this task, which have been assessed primarily for their precision of CATE estimation while overlooking the evaluation of imaging biomarker discovery. Our proof-of-concept analysis demonstrates the feasibility and potential of our approach in discovering and validating predictive imaging biomarkers from synthetic outcomes and real-world image datasets. Our code is available at https://***/MIC-DKFZ/predictive_image_biomarker_analysis.
The proceedings contain 159 papers. The topics discussed include: geometric image primitives by complex moments in Gabor space and the application to texture segmentation;geometric primitive extraction using a genetic...
ISBN:
(纸本)0818628553
The proceedings contain 159 papers. The topics discussed include: geometric image primitives by complex moments in Gabor space and the application to texture segmentation;geometric primitive extraction using a genetic algorithm;model based region segmentation using co-occurrence matrices;morphological grayscale reconstruction: definition, efficient algorithm and applications in image analysis;edge detection in range images through morphological residue analysis;morphological decomposition of restricted domains: a vector space solution;spatial reasoning based on multivariate belief functions;analysis of the least median of squares estimator for computervision applications;and image segmentation via edge contour finding: a graph theoretic approach.
The proceedings contain 143 papers. The topics discussed include: single-view obstacle detection for smart back-up camera systems;high-speed line-scan camera with multi-line CMOS color sensor;stereo vision embedded sy...
ISBN:
(纸本)9781467316118
The proceedings contain 143 papers. The topics discussed include: single-view obstacle detection for smart back-up camera systems;high-speed line-scan camera with multi-line CMOS color sensor;stereo vision embedded system for augmented reality;feature detection and matching on an SIMD/MIMD hybrid embedded processor;head-tracking virtual 3-D display for mobile devices;spatiotemporal multiple persons tracking using dynamic vision sensor;real-time body motion analysis for dance patternrecognition;embedded smart sensor for outdoor parking lot lighting control;embedded fall detection with a neural network and bio-inspired stereo vision;a GPU accelerated fast directional chamfer matching algorithm and a detailed comparison with a highly optimized CPU implementation;event-driven embodied system for feature extraction and object recognition in robotic applications;and a CPU-GPU hybrid people counting system for real-world airport scenarios using arbitrary oblique view cameras.
The proceedings contain 231 papers. The topics discussed include: stability effects of finite difference methods on a mathematical tumor growth model;learning high-dimensional image statistics for abnormality detectio...
ISBN:
(纸本)9781424470297
The proceedings contain 231 papers. The topics discussed include: stability effects of finite difference methods on a mathematical tumor growth model;learning high-dimensional image statistics for abnormality detection on medical images;predicting the histology of colorectal lesions in a probabilistic framework;dense photometric stereo reconstruction on many core GPUs;automatic change detection in an indoor environment;image quality assessment using a rotated Gaussian discrimination function;people trajectory mining with statistical patternrecognition;action recognition by employing combined directional motion history and energy images;immersive and perceptual human-computer interaction using computervision techniques;a socio-technical approach for event detection in security critical infrastructure;dense spatio-temporal motion segmentation for tracking multiple self-occluding people;and real-time classification of pedestrians and cyclists for intelligent counting of non-motorized traffic.
The proceedings contain 525 papers. The topics discussed include: learning visual similarity measures for comparing never seen objects;a contextual dissimilarity measure for accurate and efficient image search;learnin...
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ISBN:
(纸本)1424411807
The proceedings contain 525 papers. The topics discussed include: learning visual similarity measures for comparing never seen objects;a contextual dissimilarity measure for accurate and efficient image search;learning local image descriptors;principal curvature-based region detector for object recognition;a benchmark for the comparison of 3-D motion segmentation algorithms;a nonparametric treatment for location/segmentation based visual tracking;learning gaussian conditional random fields for low-level vision;hierarchical structuring of data on manifolds;learning GMRF structures for spatial priors;element rearrangement for tensor-based subspace learning;unsupervised clustering using multi-resolution perceptual grouping;object tracking by asymmetric kernel mean shift with automatic scale and orientation selection;and free-form nonrigid image registration using generalized elastic nets.
The proceedings contain 126 papers. The topics discussed include: hallucinating the full face from the periocular region via dimensionally weighted K-SVD;globality-locality preserving projections for biometric data di...
ISBN:
(纸本)9781479943098
The proceedings contain 126 papers. The topics discussed include: hallucinating the full face from the periocular region via dimensionally weighted K-SVD;globality-locality preserving projections for biometric data dimensionality reduction;robust low-rank regularized regression for face recognition with occlusion;natural vs artificial face classification using uniform local directional patterns and wavelet uniform local directional patterns;effect of pupil dilation and constriction on the distribution of bit errors within the iris;reliable posterior probability estimation for streaming face recognition;learning minutiae neighborhoods: a new binary representation for matching fingerprints;performance improvement of phase-based correspondence matching for palmprint recognition;estimating gaze direction of vehicle drivers using a smartphone camera;and vision on wheels: looking at driver, vehicle, and surround for on-road maneuver analysis.
The proceedings contain 162 papers. The topics discussed include: model-based validation approaches and matching techniques for automotive vision based pedestrian detection;3D face recognition using mapped depth image...
ISBN:
(纸本)0769526608
The proceedings contain 162 papers. The topics discussed include: model-based validation approaches and matching techniques for automotive vision based pedestrian detection;3D face recognition using mapped depth images;a combinational approach to the fusion, de-noising and enhancement of dual-energy x-ray luggage images;multiperspective thermal IR and video arrays for 3D body tracking and driver activity analysis;tracking humans using multi-modal fusion;improved likelihood function in particle-based IR eye tracking;spaceborne traffic monitoring with dual channel synthetic aperture radar – theory and experiments;comparative image fusion analysis;performance evaluation of face recognition using visual and thermal imagery with advanced correlation filters;and integrating LDV audio and ir video for remote multimodal surveillance.
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