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» Robust estimation for sparse data
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ICML
2010
IEEE
14 years 11 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
MIAR
2006
IEEE
15 years 3 months ago
Robust Click-Point Linking for Longitudinal Follow-Up Studies
This paper proposes a novel framework for robust click-point linking: efficient localized registration that allows users to interactively prescribe where the accuracy has to be hig...
Kazunori Okada, Xiaolei Huang, Xiang Zhou, Arun Kr...
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
15 years 10 months ago
Very sparse random projections
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
Ping Li, Trevor Hastie, Kenneth Ward Church
ACL
1998
14 years 11 months ago
Structural Disambiguation Based on Reliable Estimation of Strength of Association
This paper proposes a new class-based method to estimate the strength of association in word co-occurrence for the purpose of structural disambiguation. To deal with sparseness of...
Haodong Wu, Eduardo de Paiva Alves
ICCV
1998
IEEE
15 years 11 months ago
Robust Multi-Sensor Image Alignment
This paper presents a method for alignment of images acquired by sensors of di erent modalities (e.g., EO and IR). The paper has two main contributions: (i) It identi es an approp...
Michal Irani, P. Anandan