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» Training of Support Vector Machines with Mahalanobis Kernels
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ECAI
2008
Springer
13 years 9 months ago
WWW sits the SAT: Measuring Relational Similarity on the Web
Abstract. Measuring relational similarity between words is important in numerous natural language processing tasks such as solving analogy questions and classifying noun-modifier r...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
NIPS
2000
13 years 9 months ago
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
Claudio Gentile
ICPR
2008
IEEE
14 years 2 months ago
A scene-based video watermarking technique using SVMs
In this paper we present a scene-based video watermarking scheme using support vector machines (SVMs). In a given scene, the algorithm uses the first h′ frames to train an embed...
Shwu-Huey Yen, Hsiao-Wei Chang, Chia-Jen Wang, Pat...
ICIAP
2003
ACM
14 years 27 days ago
PCA vs low resolution images in face verification
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...
Cristina Conde, Antonio Ruiz, Enrique Cabello
AVSS
2006
IEEE
13 years 11 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks