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SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
15 years 5 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
TON
2010
132views more  TON 2010»
15 years 5 months ago
The optimality of two prices: maximizing revenue in a stochastic communication system
—This paper considers the problem of pricing and transmission scheduling for an Access Point (AP) in a wireless network, where the AP provides service to a set of mobile users. T...
Longbo Huang, Michael J. Neely
ACIVS
2010
Springer
15 years 4 months ago
Exploiting Neighbors for Faster Scanning Window Detection in Images
Detection of objects through scanning windows is widely used and accepted method. The detectors traditionally do not make use of information that is shared between neighboring imag...
Pavel Zemcík, Michal Hradis, Adam Herout
BMVC
2010
15 years 4 months ago
Improving object classification using semantic attributes
This paper shows how semantic attribute features can be used to improve object classification performance. The semantic attributes used fall into five groups: scene (e.g. `road�...
Yu Su, Moray Allan, Frédéric Jurie
BMVC
2010
15 years 4 months ago
Learning Directional Local Pairwise Bases with Sparse Coding
Recently, sparse coding has been receiving much attention in object and scene recognition tasks because of its superiority in learning an effective codebook over k-means clusterin...
Nobuyuki Morioka, Shin'ichi Satoh