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ICML
2005
IEEE
16 years 7 months ago
Learning to rank using gradient descent
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
Christopher J. C. Burges, Tal Shaked, Erin Renshaw...
IBPRIA
2003
Springer
15 years 11 months ago
Hash-Like Fractal Image Compression with Linear Execution Time
The main computational cost in Fractal Image Analysis (FIC) comes from the required range-domain full block comparisons. In this work we propose a new algorithm for this comparison...
Kostadin Koroutchev, José R. Dorronsoro
ICALP
2003
Springer
15 years 11 months ago
Real-Time Scheduling with a Budget
We are given a set of jobs each has a processing time, a non-negative weight, a set of possible time intervals in which it can be processed and a cost. The goal is to schedule a f...
Joseph Naor, Hadas Shachnai, Tami Tamir
MVA
1994
15 years 7 months ago
Robust Line Drawing Understanding Incorporating Efficient Closed Symbols Extraction
This paper presents an efficient extraction method of closed loops as primitive symbols of line drawings, and an robust line drawing understanding system incorporating this extrac...
Shin'ichi Satoh, Hiroshi Mo, Masao Sakauchi
CLEF
2010
Springer
15 years 7 months ago
MapReduce for Information Retrieval Evaluation: "Let's Quickly Test This on 12 TB of Data"
We propose to use MapReduce to quickly test new retrieval approaches on a cluster of machines by sequentially scanning all documents. We present a small case study in which we use ...
Djoerd Hiemstra, Claudia Hauff