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Maximal local interclass embedding with application to face recognition
Dimensionality reduction of high dimensional data is involved in many problems in information processing. A new dimensionality reduction approach...
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Gait Recognition by Multidimensional Representation for Accumulated Silhouette
Gait is defined as a style of walking and the gait recognition is to recognize individual by using gait image sequence. Most studies about gait...
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Feature Selection for Tracker-Less Human Activity Recognition
We address the empirical feature selection for tracker-less recognition of human actions. We rely on the appearance plus motion model over several...
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Face Recognition System Using Discrete Wavelet Transform and Fast PCA
The face recognition system is used to create a national database for the purpose of identity cards, voting in an electoral systems, bank...
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Top-Down Cues for Event Recognition
How to fuse static and dynamic information is a key issue in event analysis. In this paper, we present a novel approach to combine appearance and...
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On Fast Deep Nets for AGI Vision
Artificial General Intelligence will not be general without computer vision. Biologically inspired adaptive vision models have started to outperform...
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Collaborative Track Analysis, Data Cleansing, and Labeling
Tracking output is a very attractive source of labeled data sets that, in turn, could be used to train other systems for tracking, detection,...
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Classification of the Action Surface EMG Signals Based on the Dirichlet Process Mixtures Method
This paper proposes a new classification method based on Dirichlet process mixtures(DPM) to investigate the classification of the four actions from...
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Feature Relationships Hypergraph for Multimodal Recognition
Utilizing multimodal features to describe multimedia data is a natural way for accurate pattern recognition. However, how to deal with the complex...
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Genre Classification and the Invariance of MFCC Features to Key and Tempo
Musical genre classification is a promising yet difficult task in the field of musical information retrieval. As a widely used feature in genre...
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Style adaptive contour tracking of human gait using explicit manifold models
In the domain of human motion analysis, the observed contours of the body contain rich information about the body configuration, the motion...
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Face Recognition Using Balanced Pairwise Classifier Training
This paper presents a novel pairwise classification framework for face recognition (FR). In the framework, a two-class (intra- and inter-personal)...
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Non-negative Matrix Factorization Implementation Using Graphic Processing Units
Non-Negative Matrix Factorization (NMF) algorithms decompose a matrix, containing only non-negative coefficients, into the product of two matrices,...
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Mediapedia: Mining Web Knowledge to Construct Multimedia Encyclopedia
In recent years, we have witnessed the blooming of Web 2.0 content such as Wikipedia, Flickr and YouTube, etc. How might we benefit from such rich...
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Estimating 3D Pose via Stochastic Search and Expectation Maximization
In this paper an approach is described to estimate 3D pose using a part based stochastic method. A proposed representation of the human body is...
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A Hybrid Face Recognition Approach Using GPUMLib
We present a hybrid face recognition approach which relies on a Graphics Processing Unit (GPU) Machine Learning (ML) Library (GPUMLib). The library...
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Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
A common practice to gain invariant features in object recognition models is to aggregate multiple low-level features over a small neighborhood....
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3D Human Action Recognition Using Model Segmentation
This paper addresses a learning-based human action recognition system from multiple images based on integrating features of segmented 3D human body...
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Knowledge-Based Situation Interpretation for Context-Aware Augmented Reality in Dental Implant Surgery
The objective of this research is to develop and evaluate a context-aware Augmented Reality system which filters content based on the local context...
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Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional...