Travelled to:1 × Australia
1 × Austria
1 × China
1 × France
1 × Germany
1 × India
1 × Japan
1 × Portugal
1 × Sweden
1 × Turkey
1 × USA
3 × Spain
Collaborated with:P.Foggia C.Sansone F.Tortorella L.P.Cordella M.D.Santo F.Colace G.Percannella C.D.Stefano D.Conte F.Tufano A.d'Acierno M.Leone A.Saggese P.Hobson B.C.Lovell A.Wiliem
Talks about:algorithm (6) structur (4) bayesian (4) learn (4) network (3) detect (3) match (3) graph (3) use (3) classifi (2)
Person: Mario Vento
DBLP: Vento:Mario
Contributed to:
2014
201220102006
20052004200320002000
19991998199719961993Wrote 17 papers:
- ICPR-2014-HobsonLPVW #anti #benchmark #framework #image #metric #platform
- Classifying Anti-nuclear Antibodies HEp-2 Images: A Benchmarking Platform (PH, BCL, GP, MV, AW), pp. 3233–3238.
- KDIR-2012-dAciernoLSV #performance #retrieval
- An Efficient Strategy for Spatio-temporal Data Indexing and Retrieval (Ad, ML, AS, MV), pp. 227–232.
- ICPR-2010-ConteFPTV #detection #people
- Counting Moving People in Videos by Salient Points Detection (DC, PF, GP, FT, MV), pp. 1743–1746.
- ICPR-2010-ConteFPTV10a
- Reflection Removal in Color Videos (DC, PF, GP, FT, MV), pp. 1788–1791.
- ICPR-v2-2006-SantoFSPV #algorithm #detection
- An Unsupervised Algorithm for Anchor Shot Detection (MDS, PF, CS, GP, MV), pp. 1238–1241.
- ICEIS-v2-2005-ColaceSVF #algorithm #approach #learning #multi #network
- A Bayesian Networks Structural Learning Algorithm Based on a Multiexpert Approach (FC, MDS, MV, PF), pp. 194–200.
- ICEIS-v2-2004-ColaceSVF #algorithm #automation #learning #ontology
- A Semi-Automatic Bayesian Algorithm for Ontology Learning (FC, MDS, MV, PF), pp. 191–196.
- ICEIS-v2-2004-ColaceSVF04a #algorithm #comparison #learning #network
- Bayesian Network Structural Learning from Data: An Algorithms Comparison (FC, MDS, MV, PF), pp. 527–530.
- ICEIS-v2-2003-ColaceSFV #learning #network #ontology
- Ontology Learning Through Bayesian Networks (FC, MDS, PF, MV), pp. 430–433.
- ICPR-v2-2000-CordellaFSV #component #detection #graph #image #performance
- Fast Graph Matching for Detecting CAD Image Components (LPC, PF, CS, MV), pp. 6034–6037.
- ICPR-v4-2000-CordellaTV #clustering
- Combining Experts with Different Features for Classifying Clustered Microcalcifications in Mammograms (LPC, FT, MV), pp. 4324–4327.
- ICDAR-1999-CordellaFSV #approach #documentation #multi #validation
- Document Validation by Signature: A Serial Multi-Expert Approach (LPC, PF, CS, MV), pp. 601–604.
- ICPR-1998-CordellaFSTV #algorithm #evaluation #graph #performance
- Graph matching: a fast algorithm and its evaluation (LPC, PF, CS, FT, MV), pp. 1582–1584.
- ICDAR-1997-FoggiaSTV #geometry #recognition
- Character Recognition by Geometrical Moments on Structural Decompositions (PF, CS, FT, MV), pp. 6–10.
- ICPR-1996-CordellaFSV #algorithm #graph #performance #using
- An efficient algorithm for the inexact matching of ARG graphs using a contextual transformational model (LPC, PF, CS, MV), pp. 180–184.
- ICPR-1996-StefanoFTV #distance #using
- A distance measure for structural descriptions using circular arcs as primitives (CDS, PF, FT, MV), pp. 290–294.
- ICDAR-1993-StefanoTV #reliability #using
- Using entropy for drawing reliable templates (CDS, FT, MV), pp. 345–348.