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» Unsupervised feature extraction using neuro-fuzzy approach
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CVPR
2009
IEEE
16 years 5 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
SPEECH
2008
97views more  SPEECH 2008»
14 years 11 months ago
Extraction and representation of prosodic features for language and speaker recognition
In this paper, we propose a new approach for extracting and representing prosodic features directly from the speech signal. We hypothesize that prosody is linked to linguistic uni...
Leena Mary, B. Yegnanarayana
MVA
2007
142views Computer Vision» more  MVA 2007»
15 years 1 months ago
Improved Wavelet Feature Extraction Methods Based on HSV Space for Vehicle Detection
The focus of this work is on the problem of feature extraction for vehicle detection. Feature extraction is a key point of pattern recognition. In particular, we propose using imp...
Xuezhi Wen, Wei Liu, Nan Wang, Huai Yuan, Hong Zha...
TRECVID
2007
15 years 1 months ago
Eurecom at TRECVid 2007: Extraction of High-level Features
In this paper we describe our experiments for the high level features extraction task of TRECVid 2007. Our approach is different than previous submissions in that we have impleme...
Rachid Benmokhtar, Eric Galmar, Benoit Huet
CRV
2006
IEEE
132views Robotics» more  CRV 2006»
15 years 3 months ago
Automatic Classification of Outdoor Images by Region Matching
This paper presents a novel method for image classification. It differs from previous approaches by computing image similarity based on region matching. Firstly, the images to be ...
Oliver van Kaick, Greg Mori