this paper presents a phenomenon modeling of human odor perception. For a recognition test by discrimination, odors are presented in couples. Pair odors are separated by an arbitrary defined time interval. Individuals...
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We use connectionist modeling to develop an analysis of stress systems in terms of ease of learnability. In traditional linguistic analyses, learnability arguments determine default parameter settings based on the fea...
ISBN:
(纸本)9781558602229
We use connectionist modeling to develop an analysis of stress systems in terms of ease of learnability. In traditional linguistic analyses, learnability arguments determine default parameter settings based on the feasibilty of logically deducing correct settings from an initial state. Our approach provides an empirical alternative to such arguments. Based on perceptron learning experiments using data from nineteen human languages, we develop a novel characterization of stress patterns in terms of six parameters. these provide both a partial description of the stress pattern itself and a prediction of its learnability, without invoking abstract theoretical constructs such as metrical feet. this work demonstrates that machinelearning methods can provide a fresh approach to understanding linguistic phenomena.
the proceedings contain 66 papers. the special focus in this conference is on patternrecognition. the topics include: Change detection in digital imagery using the adaptive learning networks;image segmentation using ...
ISBN:
(纸本)9783540190363
the proceedings contain 66 papers. the special focus in this conference is on patternrecognition. the topics include: Change detection in digital imagery using the adaptive learning networks;image segmentation using causal Markov random field models;preditas — Software package for solving patternrecognition and diagnostic problems;processing poor quality line drawings by local estimation of noise;a color classification algorithm for color images;fuzzy set methods in patternrecognition;a fuzzy hybrid model for pattern classification;on the role of pattern in recognizer design;a statistical study in word recognition;an integrated image segmentation/image analysis system;feature extraction from line drawing images;syntax analysis in automated digitizing of maps;a fast binary template matching algorithm for document image data compression;recognition system for three-view mechanical drawings;a heuristic algorithm for stroke extraction;an analysis of methods for improving long-range connectivity in meshes;Implementation and use of software scanning on a small CLIP4 processor array;Performing global transforms on an SIMD machine;a parallel architecture for model-based object recognition;lapwing - A trainable image recognition system for the linear array processor;a fast algorithm for the automatic recognition of heat sources in satellite images;linguistic definition of generic models in computer vision;a multiple hypothesis rule-based automatic target recognizer;generic cueing in image understanding;knowledge-based approach for adaptive recognition of drawings;extended symbolic projections as a knowledge structure for spatial reasoning;Knowledge-based road network extraction on SPOT satellite images;median-based methods of corner detection;an efflcient Radon transform.
this paper presents a statistic patternrecognition and machinelearning based classification system paradigm. It focuses on solving problems underlying environments where the attributes of the system exhibit strong u...
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An architecture based on networks of logic functions is proposed withthe output of the network forming a model or archetype image of the class of pattern stimulating the net. Frequency of occurrence information which...
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this paper reports research conducted on the problem of change detection in digital imagery. the detection of changes is very important in any applications which require comparison of many images of the same scene. th...
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the improved LUV algorithm could highly enhance the false color image with preserved brightness and hue sensation. the resulting pictures met with approval. the algorithm was implemented as a library software and is p...
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patternrecognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machinelearning, content-based image retrieval, and model- and knowledge...
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ISBN:
(数字)9783642166877
ISBN:
(纸本)9783642166860
patternrecognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machinelearning, content-based image retrieval, and model- and knowledge-based - proaches, just to name a few. the Iberoamerican Congress on pattern Recog- tion (CIARP) has become established as a high-quality conference, highlighting the recent evolution of the domain. these proceedings include all papers presented during the 15th edition of this conference, held in Sao Paulo, Brazil, in November 2010. As was the case for previous conferences, CIARP 2010 attracted parti- pants from around the world withthe aim of promoting and disseminating - going research on mathematical methods and computing techniques for patternrecognition, computer vision, image analysis, and speech recognition, as well as their applications in such diverse areas as robotics, health, entertainment, space exploration, telecommunications, datamining, document analysis,and natural language processing and recognition, to name only a few of them. Moreover, it provided a forum for scienti?c research, experience exchange, sharing new kno- edge and increasing cooperation between research groups in patternrecognition and related areas. It is important to underline that these conferences have contributed sign- icantly to the growth of national associations for patternrecognition in the Iberoamerican region, all of them as members of the international Association for patternrecognition (IAPR).
this book constitutes the proceedings of the 26thinternationalconference on Discovery Science, DS 2023, which took place in Porto, Portugal, in October 2023. the 37 full papers and 10 short papers presented in ...
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ISBN:
(数字)9783031452758
ISBN:
(纸本)9783031452741
this book constitutes the proceedings of the 26thinternationalconference on Discovery Science, DS 2023, which took place in Porto, Portugal, in October 2023. the 37 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 133 submissions. they were organized in topical sections as follows: machinelearning methods and applications; natural language processing and social media analysis; interpretability and explainability in AI; data analysis and optimization; fairness, privacy and security in AI; control and spatio-temporal modeling; graph theory and network analysis; time series and forecasting; healthcare and biological data analysis; anomaly, outlier and novelty detection.
the eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st internationalconference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.the 318 r...
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ISBN:
(数字)9789819665884
ISBN:
(纸本)9789819665877
the eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st internationalconference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.
the 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. they focus on
four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.
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