Last February the Cuban Society of Mathematics and Computing (SCMC), and in particular our Cuban Association of Pattern Recognition (ACRP) received the visit of two prestigious American professors: Anil K. Jain, from Michigan State University and Rangachar Kasturi from University of South Florida.
One of the main agreement of this visit was to organize the First CUBA-USA Workshop on Pattern Recognition and Data Mining, which should be celebrated in Havana, Cuba, the last trimester of this year.
The aim of this meeting is to explore possibilities of collaboration between Cuban and American universities and research centers, in researches related to pattern recognition and data mining. In particular, this first meeting will be focused on the following topics:
1. Object Recognition in Images and Video
2. Biometrics
3. Data mining
The meeting will last for two days for presentations and academic exchange. It is expected the participation of about 6 American speakers (2 for each of the above subjects) besides professors Kasturi and Jain, and 6 Cuban speakers (2 for each subject as well).
Besides, a number of posters will be presented by Cuban researchers, covering different topics, from the main research groups on pattern recognition and data mining of the country.
Preliminary list of American speakers:
Speaker |
Title |
1. Rangachar Kasturi |
|
2. Anil K. Jain |
|
Preliminary list of Cuban speakers:
Speaker |
Title |
Video Surveillance and Object Recognition |
|
Computer vision and Pattern Recognition in Cell Imaging |
|
Biometrics: Face Recognition |
|
Biometrics: Fingerprint Recognition |
|
Data Mining: Social Networks |
|
Data Mining: ¿? |
Preliminary list of Posters Presentations:
Speaker |
Title |
Clustering and Social Networks |
|
Detection of Speaker States and Traits: The presence of Pathologies |
|
Process Mining (por confirmar) |
|
Computer Vision and Cluster Analysis |
|
|
|
|
|
Applications of Statistical Signal Processing Techniques |
|
Speaker recognition in noisy environments |
|
Event prediction using Artificial Intelligence. Applications in Civil Engineering and Meteorology. |
|
Data Mining Techniques based on Rule Discovery |
|
Face Composite Sketch Recognition By Discriminative Representations |
|
Shape features for object classification |
"Sólo la ciencia comprende lo que para nosotros es imposible aprender, pero lo que para el universo ya se ha aprendido"