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Mostly AR and Stuff

Finds in arxiv, october

This is duplication of my ongoing G+ series of post on interesting for me papers in arxiv. Older posts are not here but in my G+ thread.

Finds in #arxiv :
*Optimization, numerical & convex, ML*
The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations
Reformulation of  Split Bregman/ ADMM as split feasibility problem and algorithm/convergence for generalized split feasibility by Bregman projection. This general formulation include both Split Bregman and Kaczmarz (my comment – randomized Kaczmarz  seems could be here too)
http://arxiv.org/abs/1309.2094

Stochastic gradient descent and the randomized Kaczmarz algorithm
Hybrid of  randomized Kaczmarz  and stochastic gradient descent  – into my “to read” pile
http://arxiv.org/abs/1310.5715

Trust–Region Problems with Linear Inequality Constraints: Exact SDP Relaxation, Global Optimality and Robust Optimization
“Extended” trust region for linear inequalities constrains
http://arxiv.org/abs/1309.3000

Conic Geometric Programming
Unifing framwork for conic and geometric programming
http://arxiv.org/abs/1310.0899
http://en.wikipedia.org/wiki/Geometric_programming
http://en.wikipedia.org/wiki/Conic_programming

Gauge optimization, duality, and applications
Another big paper about different, not Lagrange duality, introduced by Freund (1987)
http://arxiv.org/abs/1310.2639

Color Bregman TV
mu parameters in split bregman made adaptive, to exploit coherence of edges in different color channels
http://arxiv.org/abs/1310.3146

Iteration Complexity Analysis of Block Coordinate Descent Methods
Some convergence analysis for BCD and projected gradient BCD
http://arxiv.org/abs/1310.6957

Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation
Nonnegative matrix factorization
http://arxiv.org/abs/1310.7529

Scaling SVM and Least Absolute Deviations via Exact Data Reduction
SVN for large-scale problems
http://arxiv.org/abs/1310.7048

Image Restoration using Total Variation with Overlapping Group Sparsity
While title is promising I have doubt about that paper.  The method authors suggest is equivalent to adding averaging filter to TV-L1 under L1 norm. There is no comparison  to just applying TV-L1 and smoothing filter interchangeably.The method author suggest is very costly, and using median filter instead of averaging would cost the same while obviously more robust.
http://arxiv.org/abs/1310.3447

*Deep learning*
Deep and Wide Multiscale Recursive Networks for Robust Image Labeling
_Open source_ matlab/c package coming soon(not yet available)
http://arxiv.org/abs/1310.0354

Improvements to deep convolutional neural networks for LVCSR
convolutional  networks, droput for speech recognition,
http://arxiv.org/abs/1309.1501v1

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Already discussed on G+  – open source framework in “learn one use everywhere” stile. Learning done off-line on GPU using ConvNet, and recognition is online in pure python.
http://arxiv.org/abs/1310.1531

Statistical mechanics of complex neural systems and high dimensional data
Big textbook-like overview paper on statistical mechanics of learning. I’ve put it in my “to read” pile.
http://arxiv.org/abs/1301.7115

Randomized co-training: from cortical neurons to machine learning and back again
“Selectron” instead of perception – neurons are “specializing” with weights.
http://arxiv.org/abs/1310.6536

Provable Bounds for Learning Some Deep Representations
http://arxiv.org/abs/1310.6343
Citation:”The current paper presents both an interesting family of denoising autoencoders as

well as new algorithms to provably learn almost all models in this family.”

*Computer vision*
Online Unsupervised Feature Learning for Visual Tracking
Sparse representation, overcomplete dictionary
http://arxiv.org/abs/1310.1690

From Shading to Local Shape
Shape restoration from local shading – could be very useful in low-feature environment.
http://arxiv.org/abs/1310.2916

Fast 3D Salient Region Detection in Medical Images using GPUs
Finding interest point in 3D images
http://arxiv.org/abs/1310.6736

Object Recognition System Design in Computer Vision: a Universal Approach
Grid-based universal framework for object detection/classification
http://arxiv.org/abs/1310.7170

Gaming :)
Lyapunov-based Low-thrust Optimal Orbit Transfer: An approach in Cartesian coordinates
For space sim enthusiast :)
http://arxiv.org/abs/1310.4201

29, October, 2013 Posted by | arxiv, computer vision | , , , , , | Comments Off on Finds in arxiv, october