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» Performance evaluation of relevance feedback methods
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CVPR
2011
IEEE
12 years 11 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
ALENEX
2009
172views Algorithms» more  ALENEX 2009»
13 years 5 months ago
Rank Aggregation: Together We're Strong
We consider the problem of finding a ranking of a set of elements that is "closest to" a given set of input rankings of the elements; more precisely, we want to find a p...
Frans Schalekamp, Anke van Zuylen
SIGMOD
2006
ACM
153views Database» more  SIGMOD 2006»
14 years 7 months ago
Interactive query formulation over web service-accessed sources
Integration systems typically support only a restricted set of queries over the schema they export. The reason is that the participating information sources contribute limited con...
Michalis Petropoulos, Alin Deutsch, Yannis Papakon...
SRDS
2010
IEEE
13 years 5 months ago
A Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
Haifeng Chen, Guofei Jiang, Hui Zhang 0002, Kenji ...
KDD
2008
ACM
155views Data Mining» more  KDD 2008»
14 years 8 months ago
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren