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» Ink recognition based on statistical classification methods
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MVA
2007
207views Computer Vision» more  MVA 2007»
13 years 10 months ago
View-invariant Human Action Recognition Based on Factorization and HMMs
of the fundamental challenges of human action recognition is accounting for the variability that arises during video capturing. For a specific action class, the 2D observations of...
Xi Li, Kazuhiro Fukui
ECCV
2008
Springer
14 years 10 months ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
DMIN
2006
164views Data Mining» more  DMIN 2006»
13 years 10 months ago
Random Forest and PCA for Self-Organizing Maps based Automatic Music Genre Discrimination
Digital music distribution industry has seen a tremendous growth in resent years. Tasks such us automatic music genre discrimination address new and exciting research challenges. A...
Xin Jin, Rongfang Bie
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 9 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
TKDE
2012
208views Formal Methods» more  TKDE 2012»
11 years 11 months ago
A Knowledge-Driven Approach to Activity Recognition in Smart Homes
Abstract—This paper introduces a knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes. The approach goes beyon...
Liming Chen, Chris D. Nugent, Hui Wang