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ICCV
2005
IEEE
16 years 6 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
ICML
1997
IEEE
16 years 5 months ago
An adaptation of Relief for attribute estimation in regression
Heuristic measures for estimating the quality of attributes mostly assume the independence of attributes so in domains with strong dependencies between attributes their performanc...
Marko Robnik-Sikonja, Igor Kononenko
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 5 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
CHI
2005
ACM
16 years 5 months ago
Roomquake: embedding dynamic phenomena within the physical space of an elementary school classroom
Authentic practice in science requires access to phenomena. In this paper, we introduce RoomQuake, an application designed to foster the growth of a community of learning around s...
Tom Moher, Syeda Hussain, Tim Halter, Debi Kilb
IJCNN
2007
IEEE
15 years 11 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar