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CVPR
2010
IEEE
15 years 10 months ago
Large-Scale Image Categorization with Explicit Data Embedding
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
Florent Perronnin, Jorge Sanchez, Yan Liu
SGP
2004
15 years 9 months ago
A Remeshing Approach to Multiresolution Modeling
Providing a thorough mathematical foundation, multiresolution modeling is the standard approach for global surface deformations that preserve fine surface details in an intuitive ...
Mario Botsch, Leif Kobbelt
ECCV
2010
Springer
15 years 8 months ago
Improving the Fisher Kernel for Large-Scale Image Classification
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...
DCOSS
2008
Springer
15 years 8 months ago
Energy-Efficient Task Mapping for Data-Driven Sensor Network Macroprogramming
Data-driven macroprogramming of wireless sensor networks (WSNs) provides an easy to use high-level task graph representation to the application developer. However, determining an e...
Animesh Pathak, Viktor K. Prasanna
ICVGIP
2004
15 years 8 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja