PAMI
2012
12 years 1 months ago
2012
—The problem of automatic and optimal design of embedded object detector cascades is considered. Two main challenges are identified: optimization of the cascade configuration and...
IAJIT
2011
13 years 2 months ago
2011
: This paper presents a classifier that is based on a modified version of the well known K-Nearest Neighbors classifier (K-NN). The original K-NN classifier was adjusted to work wi...
BMCBI
2011
13 years 3 months ago
2011
Background: Identification of discourse relations, such as causal and contrastive relations, between situations mentioned in text is an important task for biomedical text-mining. ...
JMLR
2010
13 years 6 months ago
2010
Zero-days attacks are one of the most dangerous threats against computer networks. These, by definition, are attacks never seen before. Thus, defense tools based on a database of ...
JMLR
2010
13 years 6 months ago
2010
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, we present a feature-based approach for the classification of different playing techniques in bass guitar recordings. The applied audio features are chosen to captu...
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
This paper proposes an algorithm called Imprecise Spectrum Analysis (ISA) to carry out fast dimension reduction for document classification. ISA is designed based on the one-sided...
SAC
2008
ACM
13 years 10 months ago
2008
ACM
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...
PAMI
2002
13 years 11 months ago
2002
ring and Abstraction Wai Lam, Member, IEEE, Chi-Kin Keung, and Danyu Liu
ML
2000
ACM
13 years 11 months ago
2000
ACM
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...