3941 search results - page 5 / 789 » Computational Efficiency of Batching Methods |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated ...
WSC
1998
13 years 9 months ago
1998
This paper reviews statistical methods for analyzing output data from computer simulations of single systems. In particular, it focuses on the problems of choosing initial conditi...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...
CLOUD
2010
ACM
14 years 19 days ago
2010
ACM
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...