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KDD
2003
ACM
195views Data Mining» more  KDD 2003»
16 years 5 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
139
Voted
CVPR
2010
IEEE
16 years 21 days ago
Locally-Parametric Pictorial Structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
110
Voted
DRM
2007
Springer
15 years 10 months ago
Data structures for limited oblivious execution of programs while preserving locality of reference
We introduce a data structure for program execution under a limited oblivious execution model. For fully oblivious execution along the lines of Goldreich and Ostrovsky [2], one tr...
Avinash V. Varadarajan, Ramarathnam Venkatesan, C....
SAC
2006
ACM
15 years 10 months ago
Facial emotion recognition by adaptive processing of tree structures
We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor fea...
Jia-Jun Wong, Siu-Yeung Cho
ICML
2010
IEEE
15 years 5 months ago
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
Seyoung Kim, Eric P. Xing