Ata Kabán, Mark Girolami Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. [Citation Graph (0, 0)][DBLP] ICPR, 2000, pp:2744-2747 [Conf]
Xin Wang, Ata Kabán State Aggregation in Higher Order Markov Chains for Finding Online Communities. [Citation Graph (0, 0)][DBLP] IDEAL, 2006, pp:1023-1030 [Conf]
Ata Kabán A Scalable Generative Topographic Mapping for Sparse Data Sequences. [Citation Graph (0, 0)][DBLP] ITCC (1), 2005, pp:51-56 [Conf]
Mark Girolami, Ata Kabán Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains. [Citation Graph (0, 0)][DBLP] Data Min. Knowl. Discov., 2005, v:10, n:3, pp:175-196 [Journal]
András Lörincz, Botond Szatmáry, Ata Kabán Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences. [Citation Graph (0, 0)][DBLP] Neurocomputing, 2001, v:38, n:, pp:1437-1442 [Journal]
Ata Kabán, Mark Girolami A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams. [Citation Graph (0, 0)][DBLP] J. Intell. Inf. Syst., 2002, v:18, n:2-3, pp:107-125 [Journal]
Ata Kabán, Mark Girolami Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus. [Citation Graph (0, 0)][DBLP] Neural Processing Letters, 2002, v:15, n:1, pp:31-43 [Journal]
Ata Kabán, Mark Girolami A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data. [Citation Graph (0, 0)][DBLP] IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:8, pp:859-872 [Journal]