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» Dimensionality Reduction for Classification
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SIBGRAPI
1999
IEEE
15 years 7 months ago
Curvature Operators in Geometric Image Processing
Abstract. In this work we study the problem of reconstructing an image from a perceptual segmentation based on a geometric classification of its points using non-linear curvature f...
Cicero Mota, Jonas Gomes
163
Voted
CVPR
2010
IEEE
15 years 6 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
BMCBI
2008
219views more  BMCBI 2008»
15 years 3 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
112
Voted
COMPGEOM
2009
ACM
15 years 9 months ago
Persistent cohomology and circular coordinates
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...
Vin de Silva, Mikael Vejdemo-Johansson
AIPR
2003
IEEE
15 years 8 months ago
Eigenviews for Object Recognition in Multispectral Imaging Systems
We address the problem of representing multispectral images of objects using eigenviews for recognition purposes. Eigenviews have long been used for object recognition and pose es...
Rajeev Ramanath, Wesley E. Snyder, Hairong Qi