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ICML
2001
IEEE
16 years 6 months ago
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
Bianca Zadrozny, Charles Elkan
CVPR
2010
IEEE
1341views Computer Vision» more  CVPR 2010»
16 years 1 months ago
Unsupervised Detection and Segmentation of Identical Objects
We address an unsupervised object detection and segmentation problem that goes beyond the conventional assumptions of one-to-one object correspondences or model-test settings betwe...
Minsu Cho (Seoul National University), Young Min S...
ISBI
2009
IEEE
16 years 2 days ago
Probabilistic Branching Node Detection Using Hybrid Local Features
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
Haibin Ling, Michael Barnathan, Vasileios Megalooi...
ICASSP
2009
IEEE
16 years 13 hour ago
Multi-modal speaker diarization of real-world meetings using compressed-domain video features
Speaker diarization is originally defined as the task of determining “who spoke when” given an audio track and no other prior knowledge of any kind. The following article sho...
Gerald Friedland, Hayley Hung, Chuohao Yeo
ICDAR
2009
IEEE
16 years 9 hour ago
Fisher Kernels for Handwritten Word-spotting
The Fisher kernel is a generic framework which combines the benefits of generative and discriminative approaches to pattern classification. In this contribution, we propose to a...
Florent Perronnin, José A. Rodríguez...