#### Filter Results:

- Full text PDF available (10)

#### Publication Year

2007

2018

- This year (6)
- Last 5 years (23)
- Last 10 years (29)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Data Set Used

Learn More

In the last decade, advances in data collection and storage technologies have led to an increased interest in designing and implementing large-scale parallel algorithms for machine learning and dataâ€¦ (More)

- Ramakrishnan Kannan, Mariya Ishteva, Haesun Park
- Knowledge and Information Systems
- 2013

Matrix factorization has been widely utilized as a latent factor model for solving the recommender system problem using collaborative filtering. For a recommender system, all the ratings in theâ€¦ (More)

- Richard M. Fujimoto, Angshuman Guin, +6 authors Philip Pecher
- ICCS
- 2014

Tracking the movement of vehicles in urban environments using fixed position sensors, mobile sensors, and crowd-sourced data is a challenging but important problem in applications such as lawâ€¦ (More)

- James P. Fairbanks, Ramakrishnan Kannan, Haesun Park, David A. Bader
- Parallel Computing
- 2015

This paper contributes a method for combining sparse parallel graph algorithms with dense parallel linear algebra algorithms in order to understand dynamic graphs including the temporal behavior ofâ€¦ (More)

- Ramakrishnan Kannan, Grey Ballard, Haesun Park
- PPOPP
- 2016

Non-negative matrix factorization (NMF) is the problem of determining two non-negative low rank factors W and H, for the given input matrix A, such that A â‰ˆ WH. NMF is a useful tool for manyâ€¦ (More)

- Ramakrishnan Kannan, Grey Ballard, Haesun Park
- IEEE Transactions on Knowledge and Dataâ€¦
- 2018

Non-negative matrix factorization (NMF) is the problem of determining two non-negative low rank factors <inline-formula><tex-math notation="LaTeX">$\mathbf{W}$</tex-math><alternatives>â€¦ (More)

- A. Mohamed Uvaze Ahamed, Chikkannan Eswaran, Ramakrishnan Kannan
- EURASIP J. Image and Video Processing
- 2017

- Ramakrishnan Kannan, Mariya Ishteva, Haesun Park
- 2012 IEEE 12th International Conference on Dataâ€¦
- 2012

Matrix lower rank approximations such as non-negative matrix factorization (NMF) have been successfully used to solve many data mining tasks. In this paper, we propose a new matrix lower rankâ€¦ (More)

- Ramakrishnan Kannan, C. Eswaran
- EURASIP J. Adv. Sig. Proc.
- 2007

This paper presents lossless compression schemes for ECG signals based on neural network predictors and entropy encoders. Decorrelation is achieved by nonlinear prediction in the first stage andâ€¦ (More)

VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data

- Jaegul Choo, Changhyun Lee, +7 authors Haesun Park
- 2014 IEEE Conference on Visual Analytics Scienceâ€¦
- 2014

We present VisIRR, an interactive visual information retrieval and recommendation system for large-scale document data. Starting with a query, VisIRR visualizes the retrieved documents in a scatterâ€¦ (More)