Travelled to:1 × China
2 × Canada
2 × Spain
Collaborated with:T.Barata ∅ I.Granado L.P.C.Bandeira F.Muge M.Mengucci J.R.C.Pinto M.Ramalho P.Vieira V.Ramos N.Sirakov A.Marcolino A.M.d.Amaral
Talks about:morpholog (5) mathemat (3) featur (3) recognit (2) cluster (2) classif (2) improv (2) train (2) space (2) scale (2)
Person: Pedro Pina
DBLP: Pina:Pedro
Contributed to:
200620022002
200020002000Wrote 7 papers:
- ICPR-v4-2006-PinaBB #recognition
- Morphological recognition of the spatial patterns of olive trees (PP, TB, LPCB), pp. 845–848.
- ICPR-v2-2002-BarataP #classification #clustering #modelling #set #using
- Improving Classification Rates by Modelling the Clusters of Trainings Sets in Features Space Using Mathematical Morphology Operators (TB, PP), pp. 328–331.
- ICPR-v4-2002-BarataP02a #classification #clustering #modelling #set #using
- Improving Classification Rates by Modelling the Clusters of Trainings Sets in Features Space Using Mathematical Morphology Operators (TB, PP), pp. 90–93.
- ECDL-2000-MugeGMPRSPMRVA #automation #feature model #recognition
- Automatic Feature Extraction and Recognition for Digital Access of Books of the Renaissance (FM, IG, MM, PP, VR, NS, JRCP, AM, MR, PV, AMdA), pp. 1–13.
- ECDL-2000-PintoVRMPM #library #music
- Ancient Music Recovery for Digital Libraries (JRCP, PV, MR, MM, PP, FM), pp. 24–34.
- ICPR-v3-2000-Pina #simulation
- Deconstructing the Morphological Granulometrical Distributions to Simulate Structures (PP), pp. 3127–3130.
- ICPR-v4-2000-BarataPG #image
- Segmenting at Higher Scales to Classify at Lower Scales. A Mathematical Morphology Based Methodology Applied to Forest Cover Remote Sensing Images (TB, PP, IG), pp. 4084–4087.