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» Nested Ordered Sets and their Use for Data Modelling
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ICPR
2010
IEEE
15 years 4 months ago
Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
Jeremy Bolton, Paul D. Gader
SADM
2010
173views more  SADM 2010»
15 years 1 months ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
ASPDAC
2007
ACM
116views Hardware» more  ASPDAC 2007»
15 years 10 months ago
MODLEX: A Multi Objective Data Layout EXploration Framework for Embedded Systems-on-Chip
The memory subsystem is a major contributor to the performance, power, and area of complex SoCs used in feature rich multimedia products. Hence, memory architecture of the embedded...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
SDM
2003
SIAM
123views Data Mining» more  SDM 2003»
15 years 7 months ago
Fast Online SVD Revisions for Lightweight Recommender Systems
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Matthew Brand
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 11 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...