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CHI
2007
ACM
16 years 5 months ago
Modeling pointing at targets of arbitrary shapes
We investigate pointing at graphical targets of arbitrary shapes. We first describe a previously proposed probabilistic Fitts' law model [7] which, unlike previous models tha...
Tovi Grossman, Nicholas Kong, Ravin Balakrishnan
DICTA
2009
15 years 6 months ago
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
Abstract--Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segmen...
Simon Denman, Clinton Fookes, Sridha Sridharan
NIPS
1998
15 years 6 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
WSC
2008
15 years 7 months ago
Simulation and optimization for construction repetitive projects using promodel and simrunner
We introduce a new approach, called Relative Start and Idle Time (RSIT), to solve probabilistic scheduling problems of construction repetitive projects. RSIT is a process of deter...
Chachrist Srisuwanrat, Photios G. Ioannou, Omer Ts...
TIP
2008
157views more  TIP 2008»
15 years 5 months ago
Robust Face Tracking via Collaboration of Generic and Specific Models
Significant appearance changes of objects under different orientations could cause loss of tracking, "drifting." In this paper, we present a collaborative tracking framew...
Peng Wang, Qiang Ji