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» Feature selection for ranking using boosted trees
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IR
2010
14 years 10 months ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
ICCV
2005
IEEE
16 years 1 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
ICIP
2006
IEEE
16 years 1 months ago
Region Based Segmentation Using the Tree of Shapes
The tree of shapes is a powerful tool for image representation which holds many interesting properties. There are many works in the literature that use it for image segmentation, ...
Gregory Randall, Juan Cardelino, Marcelo Bertalm&i...
EMNLP
2008
15 years 1 months ago
Selecting Sentences for Answering Complex Questions
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
Yllias Chali, Shafiq R. Joty
ICIP
2004
IEEE
16 years 1 months ago
Efficient face orientation discrimination
This paper presents efficient methods to address the problem of discriminating between five facial orientations. We present the most efficient methods for this task to date, which...
Shumeet Baluja, Mehran Sahami, Henry A. Rowley