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» The Probabilistic Method
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PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
15 years 5 months ago
Item Preference Parameters from Grouped Ranking Observations
Given a set of rating data for a set of items, determining the values of items is a matter of importance and various probability models have been proposed. The Plackett-Luce model ...
Hideitsu Hino, Yu Fujimoto, Noboru Murata
96
Voted
NIPS
2003
15 years 2 months ago
An Improved Scheme for Detection and Labelling in Johansson Displays
Consider a number of moving points, where each point is attached to a joint of the human body and projected onto an image plane. Johannson showed that humans can effortlessly det...
Claudio Fanti, Marzia Polito, Pietro Perona
CLOR
2006
15 years 2 months ago
An Implicit Shape Model for Combined Object Categorization and Segmentation
We present a method for object categorization in real-world scenes. Following a common consensus in the field, we do not assume that a figure-ground segmentation is available prior...
Bastian Leibe, Ales Leonardis, Bernt Schiele
BMCBI
2006
126views more  BMCBI 2006»
15 years 24 days ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
99
Voted
CORR
1998
Springer
96views Education» more  CORR 1998»
15 years 13 days ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira