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MCS
2010
Springer
15 years 4 months ago
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, Da...
ICCV
2009
IEEE
16 years 11 months ago
Large Displacement Optical Flow Computation without Warping
We propose an algorithm for large displacement opti- cal flow estimation which does not require the commonly used coarse-to-fine warping strategy. It is based on a quadratic rel...
Frank Steinbrucker, Thomas Pock, Daniel Cremers
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
16 years 15 days ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
WSCG
2004
142views more  WSCG 2004»
15 years 7 months ago
Metropolis Iteration for Global Illumination
This paper presents a stochastic iteration algorithm solving the global illumination problem, where the random sampling is governed by classical importance sampling and also by th...
László Szirmay-Kalos, Bálazs ...
CORR
2010
Springer
126views Education» more  CORR 2010»
15 years 6 months ago
Towards Providing Low-Risk and Economically Feasible Network Data Transfer Services
: - In the first part of this paper we present the first steps towards providing low-risk and economically feasible network data transfer services. We introduce three types of data...
Mugurel Ionut Andreica, Vasile Deac, Stelian Tipa