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PR
2006
108views more  PR 2006»
11 years 8 months ago
Boosted discriminant projections for nearest neighbor classification
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
David Masip, Jordi Vitrià
IVC
2006
175views more  IVC 2006»
11 years 8 months ago
Face recognition using optimal linear components of range images
This paper investigates the use of range images of faces for recognizing people. 3D scans of faces lead to range images that are linearly projected to low-dimensional subspaces fo...
Anuj Srivastava, Xiuwen Liu, Curt Hesher
NIPS
2004
11 years 9 months ago
Object Classification from a Single Example Utilizing Class Relevance Metrics
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
Michael Fink 0002
CLEAR
2007
Springer
136views Biometrics» more  CLEAR 2007»
12 years 2 days ago
Multichannel and Multimodality Person Identification
Person's identity is a very important high level information for video analysis and retrieval. Along the growth of multimedia data, the recording is not only multimodality and...
Ming Liu, Yanxiang Chen, Xi Zhou, Xiaodan Zhuang, ...
DEXAW
1999
IEEE
152views Database» more  DEXAW 1999»
12 years 13 days ago
Advanced Metrics for Class-Driven Similarity Search
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
Paolo Avesani, Enrico Blanzieri, Francesco Ricci
ICDAR
2009
IEEE
12 years 2 months ago
An Improved Online Tamil Character Recognition Engine Using Post-Processing Methods
We propose script-specific post processing schemes for improving the recognition rate of online Tamil characters. At the first level, features derived at each sample point of the ...
Suresh Sundaram, Angarai Ganesan Ramakrishnan
ICML
2006
IEEE
12 years 9 months ago
Locally adaptive classification piloted by uncertainty
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...
ICPR
2004
IEEE
12 years 9 months ago
Using Adapted Levenshtein Distance for On-Line Signature Authentication
In this paper a new method for on-line signature authentication will be presented, which is based on a event-string modelling of features derived from pen-position and pressure si...
Sascha Schimke, Claus Vielhauer, Jana Dittmann
CVPR
2005
IEEE
12 years 10 months ago
Randomized Trees for Real-Time Keypoint Recognition
In earlier work, we proposed treating wide baseline matching of feature points as a classification problem, in which each class corresponds to the set of all possible views of suc...
Vincent Lepetit, Pascal Lagger, Pascal Fua
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