Andreas Kosmala

26 papers A 6B 7Misc 2Unranked 10

Year	Rank	Type	Title / Venue / Authors
2002	—	`conf`	Automatic topic identification in multimedia broadcast data. ICME (1) Steffen Werner, Uri Iurgel, Andreas Kosmala, Gerhard Rigoll
2002	—	`conf`	Comparing Normalization and Adaptation Techniques for On-Line Handwriting Recognition. ICPR (3) Anja Brakensiek, Andreas Kosmala, Gerhard Rigoll
2002	—	`conf`	Evaluation of Confidence Measures for On-Line Handwriting Recognition. DAGM-Symposium Anja Brakensiek, Andreas Kosmala, Gerhard Rigoll
2001	A	`conf`	Comparing Adaptation Techniques for On-Line Handwriting Recognition. ICDAR Anja Brakensiek, Andreas Kosmala, Gerhard Rigoll
2001	A	`conf`	Multi-Branch and Two-Pass HMM Modeling Approaches for Off-Line Cursive Handwriting Recognition. ICDAR Wenwei Wang, Anja Brakensiek, Andreas Kosmala, Gerhard Rigoll
2001	—	`conf`	Writer Adaptation for Online Handwriting Recognition. DAGM-Symposium Anja Brakensiek, Andreas Kosmala, Gerhard Rigoll
2000	—	`—`	HMM-basierte Online Handschrifterkennung: ein integrierter Ansatz zur Text- und Formelerkennung. Andreas Kosmala
2000	B	`conf`	On-Line Handwritten Formula Recognition with Integrated Correction Recognition and Execution. ICPR Andreas Kosmala, Gerhard Rigoll, Anja Brakensiek
1999	A	`conf`	Advanced State Clustering for Very Large Vocabulary HMM-based On-Line Handwriting Recognition. ICDAR Andreas Kosmala, Daniel Willett, Gerhard Rigoll
1999	A	`conf`	On-Line Handwritten Formula Recognition using Hidden Markov Models and Context Dependent Graph Grammars. ICDAR Andreas Kosmala, Gerhard Rigoll, Stephane Lavirotte, Loic Pottier
1999	A	`conf`	Performance Evaluation of a New Hybrid Modeling Technique for Handwriting Recognition using On-Line and Off-Line Data. ICDAR Anja Brakensiek, Andreas Kosmala, Daniel Willett, Wenwei Wang, Gerhard Rigoll
1999	—	`conf`	Vergleich verschiedener statistischer Modellierungsverfahren für die On- und Off-line Handschriftenerkennung. DAGM-Symposium Anja Brakensiek, Andreas Kosmala, Daniel Willett, Gerhard Rigoll
1998	B	`conf`	A new hybrid approach to large vocabulary cursive handwriting recognition. ICPR Gerhard Rigoll, Andreas Kosmala, Daniel Willett
1998	B	`conf`	A systematic comparison between on-line and off-line methods for signature verification with hidden Markov models. ICPR Gerhard Rigoll, Andreas Kosmala
1998	—	`conf`	Echtzeitfähige Gestikerkennung mit stochastischen Mustererkennungsverfahren. GI Jahrestagung Gerhard Rigoll, Stefan Eickeler, Andreas Kosmala, Stefan Müller
1998	B	`conf`	Hidden Markov model based continuous online gesture recognition. ICPR Stefan Eickeler, Andreas Kosmala, Gerhard Rigoll
1998	B	`conf`	On-line handwritten formula recognition using statistical methods. ICPR Andreas Kosmala, Gerhard Rigoll
1998	B	`conf`	Tree-based state clustering using self-organizing principles for large vocabulary on-line handwriting recognition. ICPR Andreas Kosmala, Gerhard Rigoll
1997	Misc	`conf`	An investigation of the use of trigraphs for large vocabulary cursive handwriting recognition. ICASSP Andreas Kosmala, Jörg Rottland, Gerhard Rigoll
1997	—	`conf`	Echtzeitfähige Videosequenzerkennung mit statistischen Verfahren. DAGM-Symposium Stefan Eickeler, Andreas Kosmala, Gerhard Rigoll
1997	—	`conf`	High Performance Real-Time Gesture Recognition Using Hidden Markov Models. Gesture Workshop Gerhard Rigoll, Andreas Kosmala, Stefan Eickeler
1997	A	`conf`	Improved On-Line Handwriting Recognition Using Context Dependent Hidden Markov Models. ICDAR Andreas Kosmala, Jörg Rottland, Gerhard Rigoll
1997	—	`conf`	Large Vocabulary On-Line Handwriting Recognition with Context Dependent Hidden Markov Models. DAGM-Symposium Andreas Kosmala, Jörg Rottland, Gerhard Rigoll
1997	Misc	`conf`	New improved feature extraction methods for real-time high performance image sequence recognition. ICASSP Gerhard Rigoll, Andreas Kosmala
1996	B	`conf`	A comparison between continuous and discrete density hidden Markov models for cursive handwriting recognition. ICPR Gerhard Rigoll, Andreas Kosmala, Jörg Rottland, Christoph Neukirchen
1996	—	`conf`	A new approach to video sequence recognition based on statistical methods. ICIP (3) Gerhard Rigoll, Andreas Kosmala, Mike Schuster