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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 4 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
DATE
2009
IEEE
127views Hardware» more  DATE 2009»
15 years 4 months ago
Process variation aware thread mapping for Chip Multiprocessors
Abstract—With the increasing scaling of manufacturing technology, process variation is a phenomenon that has become more prevalent. As a result, in the context of Chip Multiproce...
Shengyan Hong, Sri Hari Krishna Narayanan, Mahmut ...
ATAL
2009
Springer
15 years 4 months ago
Comparing trust mechanisms for monitoring aggregator nodes in sensor networks
Sensor nodes are often used to collect data from locations inaccessible or hazardous for humans. As they are not under normal supervision, these nodes are particularly susceptible...
Oly Mistry, Anil Gürsel, Sandip Sen
CIKM
2009
Springer
15 years 4 months ago
Helping editors choose better seed sets for entity set expansion
Sets of named entities are used heavily at commercial search engines such as Google, Yahoo and Bing. Acquiring sets of entities typically consists of combining semi-supervised exp...
Vishnu Vyas, Patrick Pantel, Eric Crestan
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
15 years 4 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...