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» Parallelizing Feature Selection
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112
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ICIP
2006
IEEE
16 years 4 months ago
Foveated Analysis and Selection of Visual Fixations in Natural Scenes
The ability to automatically detect visually interesting regions in images has practical applications in the design of active machine vision systems. Analysis of the statistics of...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
124
Voted
ICML
2010
IEEE
15 years 3 months ago
Causal filter selection in microarray data
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the machine learning community. This paper proposes a filt...
Gianluca Bontempi, Patrick Emmanuel Meyer
139
Voted
ICPR
2002
IEEE
16 years 3 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
90
Voted
VLSID
2002
IEEE
79views VLSI» more  VLSID 2002»
16 years 3 months ago
A Power Minimization Technique for Arithmetic Circuits by Cell Selection
As a basic cell of arithmetic circuits, a one-bit full adder and a counter are usually used. Minimizing power consumption of these components is a key issue for low-power circuit ...
Masanori Muroyama, Tohru Ishihara, Akihiko Hyodo, ...
MVA
2007
133views Computer Vision» more  MVA 2007»
15 years 4 months ago
Selection of Object Recognition Methods According to the Task and Object Category
Service robots need object recognition strategy that can work on various objects in complex backgrounds. Since no single method can work in every situation, we need to combine sev...
Al Mansur, Yoshinori Kuno