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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 9 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
ICDAR
2007
IEEE
16 years 1 months ago
Handwriting Segmentation Contest
This paper presents the results of the Handwriting Segmentation Contest that was organized in the context of ICDAR2007. The aim of this contest was to use well established evaluat...
Basilios Gatos, Apostolos Antonacopoulos, Nikolaos...
ICDM
2007
IEEE
119views Data Mining» more  ICDM 2007»
16 years 1 months ago
Reducing UK-Means to K-Means
This paper proposes an optimisation to the UK-means algorithm, which generalises the k-means algorithm to handle objects whose locations are uncertain. The location of each object...
Sau Dan Lee, Ben Kao, Reynold Cheng
IR
2002
15 years 6 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan
NAS
2010
IEEE
15 years 5 months ago
Time-Bounded Essential Localization for Wireless Sensor Networks
In many practical applications of wireless sensor networks, it is crucial to accomplish the localization of sensors within a given time bound. We find that the traditional defin...
Wei Cheng, Nan Zhang 0004, Min Song, Dechang Chen,...