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» Supervised dimensionality reduction using mixture models
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CVPR
2001
IEEE
16 years 1 months ago
Combining Two-view Constraints For Motion Estimation
In this paper we describe two methods for estimating the motion parameters of an image sequence. For a sequence of images, the global motion can be described by ???? independent m...
Venu Madhav Govindu
MMM
2008
Springer
128views Multimedia» more  MMM 2008»
15 years 6 months ago
Semantic Quantization of 3D Human Motion Capture Data Through Spatial-Temporal Feature Extraction
3D motion capture is a form of multimedia data that is widely used in animation and medical fields (such as physical medicine and rehabilitation where body joint analysis is neede...
Yohan Jin, B. Prabhakaran
WACV
2002
IEEE
15 years 4 months ago
Appearance-based Eye Gaze Estimation
We present a method for estimating eye gaze direction, which represents a departure from conventional eye gaze estimation methods, the majority of which are based on tracking spec...
Kar-Han Tan, David J. Kriegman, Narendra Ahuja
AI
2004
Springer
14 years 11 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
CVPR
2009
IEEE
16 years 6 months ago
A Similarity Measure Between Vector Sequences with Application to Handwritten Word Image Retrieval
This article proposes a novel similarity measure between vector sequences. Recently, a model-based approach was introduced to address this issue. It consists in modeling each se...
José A. Rodríguez-Serrano, Florent P...