Since the last Nuit Blanche in Review ( September 2014 ), we had another Way of Reading Nuit Blanche, saw Once Thought Impossible Computations, read a few Blogs in 78 Summer Hours and found quite a few implementations:
- Non-linear Causal Inference using Gaussianity Measures
- BRTF: Robust Bayesian Tensor Factorization for Incomplete Multiway Data
- SparsePR: Robust Sparse Phase Retrieval Made Easy
- Compressed Manifold Modes for Mesh Processing
- On Sparse Representation in Fourier and Local Bases
- RQS (Read Quality-score Sparsifier): Traversing the k-mer Landscape of NGS Read Datasets for Quality Score Sparsification
- Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images
- Generalized Low Rank Models - implementations in Julia and Spark -
- Coreset and PCA: Distributed k-Means and k-Median Clustering on General Topologies
In-depth subjects:
- Higher Criticism for Large-Scale Inference: especially for Rare and Weak effects
- A Bird's eye view of Compressive Sensing, Advanced matrix Factorization, Randomized Numerical Linear Algebra, Big Data and more ...
- Adaptive Compressed Sensing for Estimation of Structured Sparse Sets
- On Sparse Representation in Fourier and Local Bases
- On the Effective Measure of Dimension in the Analysis Cosparse Model
- MONGOOSE: An exact arithmetic toolbox for a consistent and reproducible structural analysis of metabolic network models
- Book: "Foundations of Data Science" by John Hopcroft and Ravindran Kannan
- Books: "Foundations of Signal Processing" and "Fourier and Wavelet Signal Processing"
- Thesis: Approximate Message Passing Algorithms for Generalized Bilinear Inference, Jason Parker
- Thesis: On optimal Sampling in low and high dimension, Alexandra Carpentier
- Ce soir: Paris Machine Learning #2 Season 2: : Learning Causality, Words, the Higgs & more.
- NYC Event: “How the Age of Machine Consciousness is Transforming Our Lives”
- Saturday Morning Video: Ravi Kannan -- Foundations of Data Science
- Slides and a Video: Sensor Signal Processing for Defence (SSPD) 2014
- Videos: MMDS 2014: Workshop on Algorithms for Modern Massive Data Sets
- Slides: MMDS 2014: Workshop on Algorithms for Modern Massive Data Sets
- Proceedings: iTWIST'14, SAHD London 2014, MaxEnt '14
Job
Other
Other
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.
No comments:
Post a Comment