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» A Boosting Algorithm for Regression
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PCM
2004
Springer
135views Multimedia» more  PCM 2004»
15 years 8 months ago
Probabilistic Face Tracking Using Boosted Multi-view Detector
Face tracking in realistic environments is a difficult problem due to pose variations, occlusions of objects, illumination changes and cluttered background, among others. The paper...
Peihua Li, Haijing Wang
123
Voted
ML
2002
ACM
141views Machine Learning» more  ML 2002»
15 years 2 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
110
Voted
ISMIR
2005
Springer
170views Music» more  ISMIR 2005»
15 years 8 months ago
Applications of Binary Classification and Adaptive Boosting to the Query-By-Humming Problem
In the “query-by-humming” problem, we attempt to retrieve a specific song from a target set based on a sung query. Recent evaluations of query-by-humming systems show that th...
Charles L. Parker
96
Voted
ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
15 years 8 months ago
An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation
Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting an array in up to K segments. We want segments to be as monotonic as po...
Daniel Lemire, Martin Brooks, Yuhong Yan
132
Voted
SODA
1997
ACM
171views Algorithms» more  SODA 1997»
15 years 3 months ago
A Practical Approximation Algorithm for the LMS Line Estimator
The problem of fitting a straight line to a finite collection of points in the plane is an important problem in statistical estimation. Robust estimators are widely used because...
David M. Mount, Nathan S. Netanyahu, Kathleen Roma...