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Publications of Author

1. K. Banerjee, P. S. Sastry, K. R. Ramakrishnan, Y. V. Venkatesh
   An SIMD machine for low-level vision. [Citation Graph (0, 0)][DBLP]
   Inf. Sci., 1988, v:44, n:1, pp:19-50 [Journal]
   
2. P. S. Sastry, M. Magesh, K. P. Unnikrishnan
   Two Timescale Analysis of the Alopex Algorithm for Optimization. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2002, v:14, n:11, pp:2729-2750 [Journal]
   
3. K. P. Unnikrishnan, Naren Ramakrishnan, P. S. Sastry, Ramasamy Uthurusamy
   Network reconstruction from dynamic data. [Citation Graph (0, 0)][DBLP]
   SIGKDD Explorations, 2006, v:8, n:2, pp:90-91 [Journal]
   
4. Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
   Discovering Frequent Episodes and Learning Hidden Markov Models: A Formal Connection. [Citation Graph (0, 0)][DBLP]
   IEEE Trans. Knowl. Data Eng., 2005, v:17, n:11, pp:1505-1517 [Journal]
   
5. Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
   A fast algorithm for finding frequent episodes in event streams. [Citation Graph (0, 0)][DBLP]
   KDD, 2007, pp:410-419 [Conf]
   
6. Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishnan
   Inferring Neuronal Network Connectivity using Time-constrained Episodes [Citation Graph (0, 0)][DBLP]
   CoRR, 2007, v:0, n:, pp:- [Journal]
   
7. K. P. Unnikrishnan, Debprakash Patnaik, P. S. Sastry
   Discovering Patterns in Multi-neuronal Spike Trains using the Frequent Episode Method [Citation Graph (0, 0)][DBLP]
   CoRR, 2007, v:0, n:, pp:- [Journal]
   
8. Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
   Discovering Frequent Generalized Episodes When Events Persist for Different Durations. [Citation Graph (0, 0)][DBLP]
   IEEE Trans. Knowl. Data Eng., 2007, v:19, n:9, pp:1188-1201 [Journal]
   
9. 
   A Geometric Algorithm for Learning Oblique Decision Trees. [Citation Graph (, )][DBLP]
   
   
10. 
    Inferring Neuronal Network Connectivity from Spike Data: A Temporal Datamining Approach [Citation Graph (, )][DBLP]
    
    
11. 
    Conditional probability based significance tests for sequential patterns in multi-neuronal spike trains [Citation Graph (, )][DBLP]
    
    
12. 
    Discovering general partial orders in event streams [Citation Graph (, )][DBLP]
    
    
13. 
    Temporal data mining for root-cause analysis of machine faults in automotive assembly lines [Citation Graph (, )][DBLP]
    
    
14. 
    Efficient Discovery of Large Synchronous Events in Neural Spike Streams [Citation Graph (, )][DBLP]
    
    
15. 
    A unified view of Automata-based algorithms for Frequent Episode Discovery [Citation Graph (, )][DBLP]