BibSLEIGH
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Used together with:
recognit (5)
featur (4)
forest (4)
base (4)
data (4)

Stem speci$ (all stems)

20 papers:

ICPRICPR-2014-ColonnaCN #approach #distributed
A Distributed Approach for Classifying Anuran Species Based on Their Calls (JGC, MC, EFN), pp. 1242–1247.
ICPRICPR-2014-HafemannOC #network #recognition #using
Forest Species Recognition Using Deep Convolutional Neural Networks (LGH, LSO, PRC), pp. 1103–1107.
ICPRICPR-2014-LiuCVC #classification
Leaf Species Classification Based on a Botanical Shape Sub-classifier Strategy (HL, DC, LV, GC), pp. 1496–1501.
KDIRKDIR-2014-VazquezJ
Handling Missing Data in a Tree Species Catalog Proposed for Reforesting Mexico City (HJV, MJM), pp. 457–464.
MLDMMLDM-2013-BrownPD #algorithm #search-based
Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks (MSB, MJP, HD), pp. 27–41.
SACSAC-2013-CavalinKMO #framework #multi #recognition
A multiple feature vector framework for forest species recognition (PRC, MNK, JM, LESdO), pp. 16–20.
ICPRICPR-2012-LuHLC #recognition #using
Insect species recognition using discriminative local soft coding (AL, XH, CLL, XC), pp. 1221–1224.
ICPRICPR-2010-LariosSSMLD #identification #kernel #random
Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification (NL, BS, LGS, GMM, JL, TGD), pp. 2624–2627.
ICPRICPR-2010-PaulaOBS #recognition #using
Forest Species Recognition Using Color-Based Features (PLdP, LSO, AdSBJ, RS), pp. 4178–4181.
LATALATA-2009-ScornavaccaBR #approach
From Gene Trees to Species Trees through a Supertree Approach (CS, VB, VR), pp. 702–714.
CHICHI-2007-WhiteMF #automation #design #identification #mobile #user interface
Designing a mobile user interface for automated species identification (SW, DM, SF), pp. 291–294.
ICPRICPR-v3-2006-VilchesEVT #data mining #mining #recognition
Data Mining Applied to Acoustic Bird Species Recognition (EV, IAE, EEV, CET), pp. 400–403.
KDDKDD-2006-CaruanaEMRSFHK #mining #predict
Mining citizen science data to predict orevalence of wild bird species (RC, MFE, AM, MR, DS, DF, WMH, SK), pp. 909–915.
ISSTAISSTA-2006-McMinnHBT #approach #generative #testing
The species per path approach to SearchBased test data generation (PM, MH, DB, PT), pp. 13–24.
CIKMCIKM-2004-DucksteinB #database
Database support for species extraction from the biosystematics literature: a feasibility demonstration (RD, KB), pp. 515–522.
ICMLICML-2004-PhillipsDS #approach #modelling
A maximum entropy approach to species distribution modeling (SJP, MD, RES).
AdaEuropeAdaEurope-2003-BrosgolW #ada #comparison #java #realtime
A Comparison of the Asynchronous Transfer of Control Features in Ada and the Real-Time Speci.cation for Java (BMB, AJW), pp. 113–128.
ICPRICPR-1998-ImNK #case study #product line
Recognizing plant species by leaf shapes-a case study of the Acer family (CI, HN, TLK), pp. 1171–1173.
CSEETCSEE-1995-Browning
Keynote Address: Endangered Species? The Single-Skilled Information Worker (MFB), pp. 265–276.
KRKR-1991-Rich #information management #question #reasoning #representation
Implemented Knowledge Representation and Reasoning Systems: An Endangered Species? (CR), pp. 591–592.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.