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» Comparisons between Human and Computer Recognition of Faces
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ICPR
2008
IEEE
16 years 8 days ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
OZCHI
2009
ACM
16 years 19 days ago
Designing situations
This paper extends the analytic framework Suchman used in Plans and Situated Actions by using it as a tool in the design of interactive, immersive environments that rely on human ...
Toni Robertson, Lian Loke
313
Voted
HRI
2011
ACM
14 years 9 months ago
Learning to interpret pointing gestures with a time-of-flight camera
Pointing gestures are a common and intuitive way to draw somebody’s attention to a certain object. While humans can easily interpret robot gestures, the perception of human beha...
David Droeschel, Jörg Stückler, Sven Beh...
IJCV
2006
124views more  IJCV 2006»
15 years 5 months ago
Representation Analysis and Synthesis of Lip Images Using Dimensionality Reduction
Understanding facial expressions in image sequences is an easy task for humans. Some of us are capable of lipreading by interpreting the motion of the mouth. Automatic lipreading b...
Michal Aharon, Ron Kimmel
WEA
2010
Springer
330views Algorithms» more  WEA 2010»
16 years 20 days ago
Exact Bipartite Crossing Minimization under Tree Constraints
A tanglegram consists of a pair of (not necessarily binary) trees T1, T2 with leaf sets L1, L2. Additional edges, called tangles, may connect nodes in L1 with those in L2. The task...
Frank Baumann, Christoph Buchheim, Frauke Liers