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» Visualization of Labeled Data Using Linear Transformations
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ICML
2003
IEEE
16 years 1 months ago
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
Wee Sun Lee, Bing Liu
109
Voted
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
16 years 1 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
119
Voted
IJRR
2011
210views more  IJRR 2011»
14 years 7 months ago
Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration
Visual and inertial sensors, in combination, are able to provide accurate motion estimates and are well-suited for use in many robot navigation tasks. However, correct data fusion...
Jonathan Kelly, Gaurav S. Sukhatme
ICCAD
2003
IEEE
159views Hardware» more  ICCAD 2003»
15 years 9 months ago
Array Composition and Decomposition for Optimizing Embedded Applications
Optimizing array accesses is extremely critical in embedded computing as many embedded applications make use of arrays (in form of images, video frames, etc). Previous research co...
Guilin Chen, Mahmut T. Kandemir, A. Nadgir, Ugur S...
106
Voted
ICCV
2009
IEEE
14 years 10 months ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...