Travelled to:1 × Spain
1 × United Kingdom
2 × Germany
5 × USA
Collaborated with:R.Kountcheva V.Todorov R.Kountchev L.Bocchi S.H.Rubin N.Amraji L.Mu A.C.Campilho M.V.Correia M.P.Wachowiak R.Smolíkova A.S.Elmaghraby P.E.M.Almeida J.O.Jr. M.G.Simões V.H.Bagci
Talks about:base (4) neural (3) video (3) estim (3) recognit (2) network (2) motion (2) shape (2) model (2) human (2)
Person: Mariofanna G. Milanova
DBLP: Milanova:Mariofanna_G=
Contributed to:
2011201120092009
20082004
200120001999Wrote 9 papers:
- HCI-DDA-2011-AmrajiMM #recognition
- Shape -Based Human Actions Recognition in Videos (NA, LM, MGM), pp. 539–546.
- HIMI-v2-2011-BagciMKKT #adaptation #recognition #using
- Object and Scene Recognition Using Color Descriptors and Adaptive Color KLT (VHB, MGM, RK, RK, VT), pp. 355–363.
- DHM-2009-MilanovaB #estimation
- Video-Based Human Motion Estimation System (MGM, LB), pp. 132–139.
- HIMI-II-2009-MilanovaKRTK #adaptation #image #representation #retrieval #using
- Content Based Image Retrieval Using Adaptive Inverse Pyramid Representation (MGM, RK, SHR, VT, RK), pp. 304–314.
- ICPR-2008-MilanovaRKTK #sequence #video #visual notation
- Combined visual attention model for video sequences (MGM, SHR, RK, VT, RK), pp. 1–4.
- ICPR-v2-2004-MilanovaTK #algorithm #composition #image #recursion
- Lossless Data Compression for Image Decomposition With Recursive IDP Algorithm (MGM, VT, RK), pp. 823–826.
- MLDM-2001-WachowiakSME #modelling #parametricity #statistics
- Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution (MPW, RS, MGM, ASE), pp. 196–205.
- ICPR-v3-2000-MilanovaCC #estimation #network
- Cellular Neural Networks for Motion Estimation (MGM, ACC, MVC), pp. 3827–3830.
- MLDM-1999-MilanovaAOS #network #problem
- Applications of Celluar Neural Networks for Shape from Shading Problem (MGM, PEMA, JOJ, MGS), pp. 51–63.