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» New Feature Extraction Approaches for Face Recognition
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ICPR
2008
IEEE
16 years 7 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
ACL
2006
15 years 8 months ago
An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
Vijay Krishnan, Christopher D. Manning
IJISTA
2008
134views more  IJISTA 2008»
15 years 6 months ago
Gesture recognition with a Time-Of-Flight camera
Abstract: This paper presents a new approach for gesture classification using x- and y-projections of the image and optional depth features. The system uses a 3-D time-of-flight (T...
Eva N. K. Kollorz, Jochen Penne, Joachim Hornegger...
TITS
2010
220views Education» more  TITS 2010»
15 years 1 months ago
Vehicle Logo Recognition Using a SIFT-Based Enhanced Matching Scheme
Abstract--In this paper, a new algorithm for vehicle logo recognition on the basis of an enhanced scale-invariant feature transform (SIFT)-based feature-matching scheme is proposed...
Apostolos P. Psyllos, Christos-Nikolaos Anagnostop...
ISNN
2011
Springer
14 years 9 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes