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» Evaluating learning algorithms and classifiers
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113
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JCP
2008
104views more  JCP 2008»
15 years 13 days ago
Analysis and Improved Recognition of Protein Names Using Transductive SVM
We first analyzed protein names using various dictionaries and databases and found five problems with protein names; i.e., the treatment of special characters, the treatment of hom...
Masaki Murata, Tomohiro Mitsumori, Kouichi Doi
JIIS
2002
168views more  JIIS 2002»
15 years 3 days ago
Hidden Markov Models for Text Categorization in Multi-Page Documents
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
ICRA
2010
IEEE
98views Robotics» more  ICRA 2010»
14 years 11 months ago
A segmentation guided label propagation scheme for autonomous navigation
Abstract— Navigating through unknown outdoor environments requires a robot to be able to see and model the far field terrain. In recent years this problem of seeing beyond relia...
Soumya Ghosh, Jane Mulligan
128
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PAMI
2010
170views more  PAMI 2010»
14 years 11 months ago
On the Decoding Process in Ternary Error-Correcting Output Codes
—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...
Sergio Escalera, Oriol Pujol, Petia Radeva
110
Voted
ISBI
2002
IEEE
16 years 1 months ago
Support vector machine learning for detection of microcalcifications in mammograms
Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning fo...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...