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» Support Vector Regression Machines
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105
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ICIAP
2009
ACM
16 years 4 months ago
Estimation of Object Position Based on Color and Shape Contextual Information
This paper presents a method to estimate the position of object using contextual information. Although convention methods used only shape contextual information, color contextual i...
Takashi Ishihara, Kazuhiro Hotta, Haruhisa Takahas...
132
Voted
AAAI
2007
15 years 6 months ago
A Randomized String Kernel and Its Application to RNA Interference
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
Shibin Qiu, Terran Lane, Ljubomir J. Buturovic
151
Voted
CCS
2009
ACM
15 years 10 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
136
Voted
VISUAL
2000
Springer
15 years 7 months ago
Shape Description for Content-Based Image Retrieval
Abstract. The present work is focused on a global image characterization based on a description of the 2D displacements of the different shapes present in the image, which can be e...
Edoardo Ardizzone, Antonio Chella, Roberto Pirrone
142
Voted
BIRTHDAY
2010
Springer
15 years 4 months ago
Choiceless Computation and Symmetry
Many natural problems in computer science concern structures like graphs where elements are not inherently ordered. In contrast, Turing machines and other common models of computa...
Benjamin Rossman