the purpose of this paper is to estimate the degree of human facial expression from expressionless to its maximum. For the purpose of extracting subtle changes in the face, it is necessary to eliminate the individuali...
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ISBN:
(纸本)0780332539
the purpose of this paper is to estimate the degree of human facial expression from expressionless to its maximum. For the purpose of extracting subtle changes in the face, it is necessary to eliminate the individuality appearing in the facial images. Our method is based on the idea that the degree of facial expression can be extracted as a variation from an explessionless face. Using a Potential Net, a face is sampled as a whole patten from a facial edge image which we regard as a potential field. then applying K-L expansion, Emotion space is achieved with principal components, and estimation is achived by projecting input images on to the eigen space. We have constructed three kind of expression models: happiness, anger, and surprise, and input images evaluated.
this paper proposes a novel approach to reduce the computational complexity of the eccentricity transform (ECC) for graph-based representation and analysis of shapes. the ECC assigns to each point within a shape its g...
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the proceedings contain 37 papers. the topics discussed include: enhancing cooperation in distributed information systems using conviviality and multi-context systems;a rule based approach to group recommender systems...
ISBN:
(纸本)9783642257247
the proceedings contain 37 papers. the topics discussed include: enhancing cooperation in distributed information systems using conviviality and multi-context systems;a rule based approach to group recommender systems;combining collaborative filtering and sentiment classification for improved movie recommendations;automatic composition and mediation on multiple-language semantic web services;fuzzy-based trusted ant routing (FTAR) protocol in mobile ad hoc networks;pattern synthesis using fuzzy partitions of the feature set for nearest neighbor classifier design;crisp and soft clustering of mobile calls;handwritten Kannada vowel character recognition using crack codes and Fourier descriptors;PCA plus LDA on wavelet co-occurrence histogram features: application to CBIR;printed text characterization for identifying print technology using expectation maximization algorithm;and forecasting using rules extracted from privacy preservation neural network.
this book constitutes the refereed proceedings of the 5th INNS IAPR TC3 GIRPR internationalworkshop on Artificial Neural Networks in patternrecognition, ANNPR 2012, held in Trento, Italy, in September 2012. the 21 r...
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ISBN:
(数字)9783642332128
ISBN:
(纸本)9783642332111
this book constitutes the refereed proceedings of the 5th INNS IAPR TC3 GIRPR internationalworkshop on Artificial Neural Networks in patternrecognition, ANNPR 2012, held in Trento, Italy, in September 2012. the 21 revised full papers presented were carefully reviewed and selected for inclusion in this volume. they cover a large range of topics in the field of neural network- and machine learning-basedpatternrecognition presenting and discussing the latest research, results, and ideas in these areas.
Multi-biometric 2D and 3D ear recognition are explored. the data set used represents over 300 persons, each with images acquired on at least two different dates. Among them, 169 persons have images taken on at least f...
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this paper presents our effort to the Audio/Visual+ Emotion Challenge (AV+EC2015), whose goal is to predict the continuous values of the emotion dimensions arousal and valence from audio, visual and physiology modalit...
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We develop and study two distance metrics for area cladograms (leaf-labeled trees where many leaves can share the same label): the edge contract-and-refine metric and the MAAC distance metric. We demonstrate that in c...
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ISBN:
(纸本)3540290087
We develop and study two distance metrics for area cladograms (leaf-labeled trees where many leaves can share the same label): the edge contract-and-refine metric and the MAAC distance metric. We demonstrate that in contrast to phylogenies, the contract-and-refine distance between two area cladograms is not identical to the character encoding distance, and the latter is not a metric. We present a polynomial time algorithm to compute the MAAC distance, based on a polynomial-time algorithm for computing the largest common pruned subtree of two area cladograms. We also describe a linear time algorithm to decide if two area cladograms are identical.
Data is crucial in planning and synchronizing outsourced business activities like transport and transshipment. this data is also required for compliance to regulations;authorities govern cargo flows based on access to...
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the proceedings contain 27 papers. the topics discussed include: simple neuro-fuzzy system with combined learning for patternrecognition under conditions of short training set in medical diagnostics tasks;appraisal o...
the proceedings contain 27 papers. the topics discussed include: simple neuro-fuzzy system with combined learning for patternrecognition under conditions of short training set in medical diagnostics tasks;appraisal of artificial intelligence for fall prevention fall risk assessment;modeling of small data with unsupervised generative ensemble learning;the structure of the blockchain-based multi-agent system for secure management of medical information;evaluating autonomous-energy-harvesting device lifetime for the Internet of medical things with a petri net formulation considering battery SoH;application Of MLOps practices for biomedical image classification;impact of Russian war on COVID-19 dynamics in Germany: the simulation study by statistical machine learning;and a data-driven approach for neonatal mortality rate forecasting.
the proceedings contain 10 papers. the topics discussed include: separate MAP adaptation of GMM parameters for forensic voice comparison on limited data;unsupervised multi-view dimensionality reduction with applicatio...
ISBN:
(纸本)9781467355933
the proceedings contain 10 papers. the topics discussed include: separate MAP adaptation of GMM parameters for forensic voice comparison on limited data;unsupervised multi-view dimensionality reduction with application to audio-visual speaker retrieval;testing the validity and reliability of forensic voice comparison based on reassigned time-frequency representations of Chinese /iau/;restoring blood vessel patterns from JPEG compressed skin images for forensic analysis;robust visual tracking using local salient coding and PCA subspace modeling;ECG biometric recognition: permanence analysis of QRS signals for 24 hours continuous authentication;a Bayesian approach for modeling sensor influence on quality, liveness and match score values in fingerprint verification;de-duplication errors in a biometric system: an investigative study;and hashing fingerprints for identity de-duplication.
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