论文列表及评分结果
Active tracking of foveated feature clusters using affine structure.
电商所评分:3
The Gaussian scale-space paradigm and the multiscale local jet.
电商所评分:3
Quantitative planar region detection.
电商所评分:5
Global bifurcation sets and stable projections of nonsingular algebraic surfaces.
电商所评分:7
The cost of choosing the wrong model in object recognition by constrained search.
电商所评分:1
Three-dimensional motion computation and object segmentation in a long sequence of stereo frames.
电商所评分:2
Visual tracking of known three-dimensional objects.
电商所评分:5
Similarity-invariant signatures for partially occluded planar shapes.
电商所评分:1
Finding convex edge groupings in an image.
电商所评分:1
Measurement and integration of 3-D structures by tracking edge lines.
电商所评分:8
Stereo vision for planetary rovers: Stochastic modeling to near real-time implementation.
电商所评分:9
Color from black and white.
电商所评分:8
Organization of smooth image curves at multiple scales.
电商所评分:2
Representing oriented piecewise C2 surfaces.
电商所评分:4
A mathematical analysis of the motion coherence theory.
电商所评分:7
Potentials, valleys, and dynamic global coverings.
电商所评分:3
The feasibility of motion and structure from noisy time-varying image velocity information.
电商所评分:4
Bayesian modeling of uncertainty in low-level vision.
电商所评分:9
Reading cursive handwriting by alignment of letter prototypes.
电商所评分:1
Unsupervised Neural Network Learning Procedures for Feature Extraction and Classification.
电商所评分:9
Introduction to Financial Forecasting.
电商所评分:3
Classifier Architectures for Single Chamber Arrhythmia Recognition.
电商所评分:7
On-Line Shape Recognition with Incremental Training Using Binary Synaptic Weights Algorithm.
电商所评分:5
A Hybrid Approach to Vehicle Routing Using Neural Networks and Genetic Algorithms.
电商所评分:5
Database Reverse Engineering: From Requirements to CARE Tools.
电商所评分:9
Understanding Interleaved Code.
电商所评分:1
Pattern Matching for Clone and Concept Detection.
电商所评分:4
Extracting Architectural Features from Source Code.
电商所评分:8
Strongest Postcondition Semantics as the Formal Basis for Reverse Engineering.
电商所评分:9
Recent Trends and Open Issues in Reverse Engineering.
电商所评分:10