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KI
2007
Springer
15 years 1 months ago
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint ...
CVPR
2010
IEEE
15 years 10 months ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta
ACMACE
2009
ACM
14 years 11 months ago
Facial caricature generation using a quadratic deformation model
In this paper we propose a novel approach for generating expressive caricatures from an input image. The novelty of this work comes from combining an Active Appearance Model facia...
Mohammad Obaid, D. Lond, Ramakrishnan Mukundan, Ma...
MICCAI
2010
Springer
15 years 12 days ago
Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models
Abstract. We introduce a novel algorithm for actin filament segmentation in a 2D TIRFM image sequence. We treat the 2D time-lapse sequence as a 3D image volume and propose an over...
Hongsheng Li, Tian Shen, Dimitrios Vavylonis, Xiao...
CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 2 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...