Context-dependent fruit-frugivore interactions: partner identities and spatio-temporal variations
نویسندگان
چکیده
منابع مشابه
Spatio-temporal patterns link your digital identities
0198-9715/$ see front matter 2014 Elsevier Ltd. All rights reserved. http://dx.doi.org/10.1016/j.compenvurbsys.2013.12.004 Corresponding author. Tel.: +358 44 3865204; fax: +358 8 553 2612. E-mail addresses: [email protected] (M. Perttunen), vassilis.kostakos @ee.oulu.fi (V. Kostakos), [email protected] (J. Riekki), [email protected] (T. Ojala). Mikko Perttunen ⇑, Vassilis Ko...
متن کاملContext-sensitive spatio-temporal memory
The proposed model, called the combinatorial and competitive spatia-temporal memory or CCSTM, provides an elegant solution to the general problem of having to store and recall spatia-temporal patterns in which states or sequences of states can recur in various contexts. For example, fig. I shows two state sequences that have a common subsequence, C and D. The CCSTM assumes that any state has a ...
متن کاملSpatio-Temporal Reasoning and Context Awareness
Smart homes provide many research challenges, but some of the most interesting ones are in dealing with data that monitors human behaviour and that is inherently both spatial and temporal in nature. This means that context becomes all important: a person lying down in front of the fireplace could be perfectly normal behaviour if it was cold and the fire was on, but otherwise it is unusual. In t...
متن کاملComplementary Effects of Species Abundances and Ecological Neighborhood on the Occurrence of Fruit-Frugivore Interactions
1 Departamento de Biología de Organismos y Sistemas, Universidad de Oviedo, Oviedo, Spain, 2 Unidad Mixta de Investigación en Biodiversidad (UO-CSIC-PA), Universidad de Oviedo, Mieres, Spain, 3 Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand, 4 Department of Life Sciences, Imperial College London, Silwood Park, Ascot, United Kin...
متن کاملFast Tracking via Spatio-Temporal Context Learning
In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Oikos
سال: 2012
ISSN: 0030-1299
DOI: 10.1111/j.1600-0706.2012.20940.x