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JMLR
2008
131views more  JMLR 2008»
15 years 2 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
DIMVA
2011
14 years 6 months ago
Operating System Interface Obfuscation and the Revealing of Hidden Operations
Many software security solutions—including malware analyzers, information flow tracking systems, auditing utilities, and host-based intrusion detectors—rely on knowledge of s...
Abhinav Srivastava, Andrea Lanzi, Jonathon T. Giff...
ALT
2004
Springer
15 years 12 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
CVPR
2010
IEEE
15 years 27 days ago
Adaptive pose priors for pictorial structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
AUSDM
2006
Springer
107views Data Mining» more  AUSDM 2006»
15 years 6 months ago
Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets
We describe the use of a kernel
Ahmad Al-Oqaily, Paul J. Kennedy