'Negative matrix factorization' diaporamas de présentation

An Introduction To Matrix Decomposition and Graphical Model

An Introduction To Matrix Decomposition and Graphical Model. Lei Zhang/Lead Researcher Microsoft Research Asia 2012-04-17. Outline. Matrix Decomposition PCA, SVD, NMF LDA, ICA, Sparse Coding, etc. Graphical Model Basic concepts in probabilistic machine learning EM pLSA LDA

1.58k views • 131 slides

A Probabilistic Approach to Semantic Representation

A Probabilistic Approach to Semantic Representation. Tom Griffiths Mark Steyvers Josh Tenenbaum. How do we store the meanings of words? question of representation requires efficient abstraction. How do we store the meanings of words? question of representation

1.05k views • 90 slides

Item-level Social Ifluence Prediction for Users and Posts Ranking

482 views • 41 slides

How to do Fast Analytics on Massive Datasets

How to do Fast Analytics on Massive Datasets. Alexander Gray Georgia Institute of Technology Computational Science and Engineering College of Computing FASTlab: Fundamental Algorithmic and Statistical Tools. The FASTlab F undamental A lgorithmic and S tatistical T ools Laboratory.

526 views • 33 slides

Data Clustering and Mining

412 views • 27 slides

Mohamad Hasan Bahari Hugo Van hamme

Age and Gender Recognition from Speech Patterns Based on Supervised Non-Negative Matrix Factorization. Mohamad Hasan Bahari Hugo Van hamme. Outline. Introduction and Motivations Age and Gender Recognition Corpora Supervised Non-negative Matrix Factorization Proposed Method Results

426 views • 24 slides

Kai Lei 1 , Meng Qin 1 , Bo Bai 2,* , Gong Zhang 2

NetAI 2018 , Budapest, Hungary. Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks. Kai Lei 1 , Meng Qin 1 , Bo Bai 2,* , Gong Zhang 2. 1 ICNLAB, SECE, Peking University Shenzhen Graduate School

234 views • 23 slides

Non-negative Matrix Factorization with Sparseness Constraints

Non-negative Matrix Factorization with Sparseness Constraints. Patrik O . Hoyer. Journal of Machine Learning Research,2004. Jain- De,Lee. OutLINE. Introduction Adding Sparseness Constraints to NMF Experiments with Sparseness Constraints Conclusions. Introduction.

471 views • 18 slides

The Diagonalized Newton Algorithm for Non-negative Matrix Factorization

The Diagonalized Newton Algorithm for Non-negative Matrix Factorization. Hugo Van Hamme Reporter: Yi-Ting Wang 2013/3/26. Outline. Introduction NMF formulation The Diagonalized Newton Algorithm for KLD-NMF Experiments Conclusions. Introduction.

350 views • 18 slides

Non-Negative Residual Matrix Factorization w/ Application to Graph Anomaly Detection

Non-Negative Residual Matrix Factorization w/ Application to Graph Anomaly Detection. Hanghang Tong and Ching-Yung Lin. April 28-30, 2011. Large Graphs are Everywhere!. -----. Q: How to find patterns? e.g., community, anomaly, etc. Terrorist Network [Krebs 2002]. Food Web [2007].

460 views • 18 slides

NON-NEGATIVE MATRIX FACTORIZATION FOR REAL TIME MUSICAL ANALYSIS AND SIGHT-READING EVALUATION

1. 5. WHAT IS SIGHT-READING?. ONLINE & OFFLINE EVALUATION. Online Evaluation.

122 views • 1 slides