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» Magnitude-preserving ranking algorithms
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WWW
2011
ACM
15 years 1 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
14 years 2 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
GLOBECOM
2006
IEEE
16 years 17 days ago
Low-Complexity Adaptive High-Resolution Channel Prediction for OFDM Systems
Abstract— We propose a low-complexity adaptive highresolution channel prediction algorithm for pilot symbol assisted orthogonal frequency division multiplexing (OFDM) systems. Th...
Ian C. Wong, Brian L. Evans
WCE
2007
15 years 7 months ago
An age artificial immune system for order pickings in an AS/RS with multiple I/O stations
— This paper proposes an age artificial immune system (AAIS), for optimal order pickings in an Automated Storage and Retrieval System (AS/RS) with multiple input/ output stations...
K. L. Mak, Peggy S. K. Lau
ICCV
2009
IEEE
16 years 11 months ago
Structure- and Motion-adaptive Regularization for High Accuracy Optic Flow
The accurate estimation of motion in image sequences is of central importance to numerous computer vision applications. Most competitive algorithms compute flow fields by minimi...
Andreas Wedel, Daniel Cremers, Thomas Pock, Horst ...