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» Generalized Discriminant Analysis Using a Kernel Approach
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ICPR
2002
IEEE
16 years 7 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...
ICCV
2007
IEEE
16 years 29 days ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
ACMSE
2007
ACM
15 years 10 months ago
Change propagations in the maintenance of kernel-based software with a study on Linux
As a software system evolves to accommodate new features and repair bugs, changes are needed. Software components are interdependent, changes made to one component can require cha...
Liguo Yu, Srini Ramaswamy
HIPC
2009
Springer
15 years 4 months ago
A performance prediction model for the CUDA GPGPU platform
The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...
CVPR
2012
IEEE
13 years 9 months ago
Intrinsic shape context descriptors for deformable shapes
In this work, we present intrinsic shape context (ISC) descriptors for 3D shapes. We generalize to surfaces the polar sampling of the image domain used in shape contexts: for this...
Iasonas Kokkinos, Michael M. Bronstein, Roee Litma...