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An Empirical Comparison of SNoW and SVMs for Face Detection
(2001-01-01)
Impressive claims have been made for the performance of the SNoW algorithm on face detection tasks by Yang et. al. [7]. In particular, by looking at both their results and those of Heisele et. al. [3], one could infer that ...
Policy Improvement for POMDPs Using Normalized Importance Sampling
(2001-03-20)
We present a new method for estimating the expected return of a POMDP from experience. The estimator does not assume any knowle ge of the POMDP and allows the experience to be gathered with an arbitrary set of policies. ...
An Electronic Market-Maker
(2001-04-17)
This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. ...
Surface Reflectance Estimation and Natural Illumination Statistics
(2001-09-01)
Humans recognize optical reflectance properties of surfaces such as metal, plastic, or paper from a single image without knowledge of illumination. We develop a machine vision system to perform similar recognition tasks ...
Gait Dynamics for Recognition and Classification
(2001-09-01)
This paper describes a representation of the dynamics of human walking action for the purpose of person identification and classification by gait appearance. Our gait representation is based on simple features such as ...
Range Segmentation Using Visibility Constraints
(2001-09-01)
Visibility constraints can aid the segmentation of foreground objects observed with multiple range images. In our approach, points are defined as foreground if they can be determined to occlude some {em empty space} in the ...
Type-omega DPLs
(2001-10-16)
Type-omega DPLs (Denotational Proof Languages) are languages for proof presentation and search that offer strong soundness guarantees. LCF-type systems such as HOL offer similar guarantees, but their soundness relies heavily ...
Type-alpha DPLs
(2001-10-05)
This paper introduces Denotational Proof Languages (DPLs). DPLs are languages for presenting, discovering, and checking formal proofs. In particular, in this paper we discus type-alpha DPLs---a simple class of DPLs for ...
How do Humans Determine Reflectance Properties under Unknown Illumination?
(2001-10-21)
Under normal viewing conditions, humans find it easy to distinguish between objects made out of different materials such as plastic, metal, or paper. Untextured materials such as these have different surface reflectance ...
Learning Object-Independent Modes of Variation with Feature Flow Fields
(2001-09-01)
We present a unifying framework in which "object-independent" modes of variation are learned from continuous-time data such as video sequences. These modes of variation can be used as "generators" to produce a manifold of ...