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ICCV
2005
IEEE
16 years 16 days ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
100
Voted
AMT
2006
Springer
147views Multimedia» more  AMT 2006»
15 years 2 months ago
Semi-Supervised Text Classification Using Positive and Unlabeled Data
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
Shuang Yu, Xueyuan Zhou, Chunping Li
PVLDB
2010
91views more  PVLDB 2010»
14 years 9 months ago
Regret-Minimizing Representative Databases
We propose the k-representative regret minimization query (k-regret) as an operation to support multi-criteria decision making. Like top-k, the k-regret query assumes that users h...
Danupon Nanongkai, Atish Das Sarma, Ashwin Lall, R...
CP
2006
Springer
15 years 2 months ago
Constraint Programming Models for Graceful Graphs
The problem of finding a graceful labelling of a graph, or proving that the graph is not graceful, has previously been modelled as a CSP. A new and much faster CSP model of the pro...
Barbara M. Smith
INFOCOM
1997
IEEE
15 years 2 months ago
Efficient Admission Control for EDF Schedulers
In this paper we present algorithms for flow admission control at an EDF link scheduler when the flows are characterized by peak rate, average rate and burst size. We show that th...
Victor Firoiu, James F. Kurose, Donald F. Towsley