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IJCNN
2006
IEEE
14 years 2 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
TNN
2011
200views more  TNN 2011»
13 years 3 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
IEEECGIV
2009
IEEE
14 years 3 months ago
Surface Mesh Segmentation Using Local Geometry
—We present a novel algorithm to segment a 3D surface mesh into visually meaningful regions. Our approach is based on an analysis of the local geometry of vertices. In particular...
Chansophea Chuon, Sumanta Guha
TVCG
2010
114views more  TVCG 2010»
13 years 7 months ago
Topology-Aware Evenly Spaced Streamline Placement
—This paper presents a new streamline placement algorithm that produces evenly spaced long streamlines while preserving topological features of a flow field. Singularities and se...
Keqin Wu, Zhanping Liu, Song Zhang, Robert J. Moor...
ICCV
2011
IEEE
12 years 8 months ago
What Characterizes a Shadow Boundary under the Sun and Sky?
Despite decades of study, robust shadow detection remains difficult, especially within a single color image. We describe a new approach to detect shadow boundaries in images of o...
Xiang Huang, Gang Hua, Jack Tumblin, Lance William...