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138
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ICML
2002
IEEE
16 years 3 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
156
Voted
DFT
2006
IEEE
203views VLSI» more  DFT 2006»
15 years 8 months ago
Self Testing SoC with Reduced Memory Requirements and Minimized Hardware Overhead
This paper describes a methodology of creating a built-in diagnostic system of a System on Chip and experimental results of the system application on the AT94K FPSLIC with cores d...
Ondrej Novák, Zdenek Plíva, Jiri Jen...
138
Voted
CASES
2008
ACM
15 years 4 months ago
Cache-aware cross-profiling for java processors
Performance evaluation of embedded software is essential in an early development phase so as to ensure that the software will run on the embedded device's limited computing r...
Walter Binder, Alex Villazón, Martin Schoeb...
ICIP
2008
IEEE
16 years 4 months ago
Estimation of optimum coding redundancy and frequency domain analysis of attacks for YASS - a randomized block based hiding sche
Our recently introduced JPEG steganographic method called Yet Another Steganographic Scheme (YASS) can resist blind steganalysis by embedding data in the discrete cosine transform...
Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunat...
ICIP
2006
IEEE
16 years 4 months ago
A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation
This study investigates a new multiphase minimization scheme which embeds a simple, efficient partition constraint directly in multiple level set evolution. Starting from an arbit...
Ismail Ben Ayed, Amar Mitiche