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» Optimized fixed-size kernel models for large data sets
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EMMCVPR
2011
Springer
12 years 8 months ago
Branch and Bound Strategies for Non-maximal Suppression in Object Detection
In this work, we are concerned with the detection of multiple objects in an image. We demonstrate that typically applied objectives have the structure of a random field model, but...
Matthew B. Blaschko
AAAI
2010
13 years 10 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
CVPR
2011
IEEE
13 years 4 months ago
Sharing Features Between Objects and Their Attributes
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
Sung Ju Hwang, Fei Sha, Kristen Grauman
PLDI
1995
ACM
14 years 1 days ago
Unifying Data and Control Transformations for Distributed Shared Memory Machines
We present a unified approach to locality optimization that employs both data and control transformations. Data transformations include changing the array layout in memory. Contr...
Michal Cierniak, Wei Li
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
13 years 5 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu