The following pages link to Song-Chun Zhu (Q285523):
Displaying 26 items.
- Inducing wavelets into random fields via generative boosting (Q285524) (← links)
- A numerical study of the bottom-up and top-down inference processes in and-or graphs (Q408929) (← links)
- Intrackability: characterizing video statistics and pursuing video representations (Q409196) (← links)
- Video primal sketch: a unified middle-level representation for video (Q890113) (← links)
- Learning active basis models by EM-type algorithms (Q906518) (← links)
- Sparse and deep generalizations of the FRAME model (Q1707640) (← links)
- Exploring generative perspective of convolutional neural networks by learning random field models (Q1782144) (← links)
- Learning sparse FRAME models for natural image patterns (Q1799970) (← links)
- Modeling visual patterns by integrating descriptive and generative methods (Q1810035) (← links)
- Equivalence of Julesz ensembles and FRAME models (Q1857908) (← links)
- Order parameters for detecting target curves in images: When does high level knowledge help? (Q1859565) (← links)
- First hitting time analysis of the independence Metropolis sampler (Q2433963) (← links)
- A stochastic grammar of images (Q2786290) (← links)
- Building a telescope to look into high-dimensional image spaces (Q3121213) (← links)
- A tale of three probabilistic families: Discriminative, descriptive, and generative models (Q3121222) (← links)
- From information scaling of natural images to regimes of statistical models (Q3499458) (← links)
- A Generative Method for Textured Motion: Analysis and Synthesis (Q4448864) (← links)
- (Q4459413) (← links)
- (Q4459515) (← links)
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- (Q4459540) (← links)
- A Reconfigurable Tangram Model for Scene Representation and Categorization (Q4616141) (← links)
- Monte Carlo Methods (Q5230473) (← links)
- (Q5386641) (← links)
- Unsupervised learning of compositional sparse code for natural image representation (Q5420097) (← links)
- Discussion of ``Equi-energy sampler'' by Kou, Zhou and Wong (Q5965667) (← links)
