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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 9 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
ISVC
2007
Springer
16 years 1 months ago
Gradient-Based Hand Tracking Using Silhouette Data
Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes t...
Paris Kaimakis, Joan Lasenby
HPDC
2000
IEEE
15 years 11 months ago
dQUOB: Managing Large Data Flows using Dynamic Embedded Queries
The dQUOB system satis es client need for speci c information from high-volume data streams. The data streams we speak of are the ow of data existing during large-scale visualizat...
Beth Plale, Karsten Schwan
ISCA
2007
IEEE
120views Hardware» more  ISCA 2007»
16 years 1 months ago
Examining ACE analysis reliability estimates using fault-injection
ACE analysis is a technique to provide an early reliability estimate for microprocessors. ACE analysis couples data from performance models with low level design details to identi...
Nicholas J. Wang, Aqeel Mahesri, Sanjay J. Patel
SAC
2005
ACM
16 years 13 days ago
Retrieving lightly annotated images using image similarities
Users’ search needs are often represented by words and images are retrieved according to such textual queries. Annotation words assigned to the stored images are most useful to ...
Masashi Inoue, Naonori Ueda