NIPS 1997 - PDF Preprint Papers

NIPS 1997

Teaser Browsing | Click Here

Title Browsing | Click Here

Wall of Fame | Most Viewed NIPS-1997 Paper

click to vote

NIPS
1997

223views Information Technology» more NIPS 1997»

A Non-Parametric Multi-Scale Statistical Model for Natural Images

13 years 5 months ago

Download research.microsoft.com

The observed distribution of natural images is far from uniform. On the contrary, real images have complex and important structure that can be exploited for image processing, reco...

Jeremy S. De Bonet, Paul A. Viola

claim paper

Read More »

Disclaimer and Copyright Notice

Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.

Related Conferences

Id	Views	Title	Status

1	223	A Non-Parametric Multi-Scale Statistical Model for Natural Images	claim
2	211	EM Algorithms for PCA and SPCA	claim
3	208	Extended ICA Removes Artifacts from Electroencephalographic Recordings	claim
4	189	A Framework for Multiple-Instance Learning	claim
5	150	Active Data Clustering	claim
6	132	Computing with Action Potentials	claim
7	130	A 1, 000-Neuron System with One Million 7-bit Physical Interconnections	claim
8	126	Mapping a Manifold of Perceptual Observations	claim
9	124	Just One View: Invariances in Inferotemporal Cell Tuning	claim
10	124	How to Dynamically Merge Markov Decision Processes	claim
11	121	Generalized Prioritized Sweeping	claim
12	121	Structure Driven Image Database Retrieval	claim
13	118	Nonlinear Markov Networks for Continuous Variables	claim
14	116	Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report	claim
15	114	Refractoriness and Neural Precision	claim
16	113	Nonparametric Model-Based Reinforcement Learning	claim
17	113	Intrusion Detection with Neural Networks	claim
18	107	Learning to Order Things	claim
19	100	Incorporating Test Inputs into Learning	claim
20	100	Bayesian Model of Surface Perception	claim
21	99	Task and Spatial Frequency Effects on Face Specialization	claim
22	99	Graph Matching with Hierarchical Discrete Relaxation	claim
23	98	Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction	claim
24	96	Learning Generative Models with the Up-Propagation Algorithm	claim
25	94	Reinforcement Learning with Hierarchies of Machines	claim
26	92	Learning to Schedule Straight-Line Code	claim
27	92	Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks	claim
28	91	A Neural Network Based Head Tracking System	claim
29	91	A Hippocampal Model of Recognition Memory	claim
30	87	Visual Navigation in a Robot Using Zig-Zag Behavior	claim
31	84	Gradients for Retinotectal Mapping	claim
32	83	Training Methods for Adaptive Boosting of Neural Networks	claim
33	79	Multiple Threshold Neural Logic	claim
34	79	Relative Loss Bounds for Multidimensional Regression Problems	claim
35	77	Multi-modular Associative Memory	claim
36	76	Statistical Models of Conditioning	claim
37	73	Local Dimensionality Reduction	claim
38	67	Using Expectation to Guide Processing: A Study of Three Real-World Applications	claim
39	57	Learning Nonlinear Overcomplete Representations for Efficient Coding	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers