Invasive alien species can cause detrimental changes in native ecosystems, but our understanding of the interactions between multiple exotic is limited. To evaluate joint effect sympatric invaders on an ecosystem, we must first understand how they interact with each other. Here, quantified spatial distribution, dietary composition and overlap four invasive generalist vespid (two Vespula two Pol...

An autonomous agent embodied in a humanoid robot, in order to learn from the overwhelming flow of raw and noisy sensory, has to effectively reduce the high spatial-temporal data dimensionality. In this paper we propose a novel method of unsupervised feature extraction and selection with binary space partitioning, followed by a computation of information gain that is interpreted as intrinsic rew...

Estimation of temporal fuzzy sets that model dynamic processes is discussed. It has been found that although poles of attraction can be estimated fairly well with different fuzzy partitioning algorithms, membership function estimates may fail in accurately describing dynamic changes within the observed signals. Two types of fuzzy partitioning algorithms are compared: fuzzy c-means (FCM) and fuz...

This paper considers the eeect of input-space partitioning on reinforcement learning for control. In many such learning systems, the input space is partitioned by the system designer. However, input-space partitioning could be learned. Our objective is to compare learned and programmed input-space partitionings in terms of the overall system learning speed and proociency achieved. We present a ...

This paper considers the effect of input-space partitioning on reinforcement learning for control. In many such learning systems, the input space is partitioned by the system designer. However, input-space partitioning could be learned. Our objective is to compare learned and fixed input-space partitionings in terms of the overall system learning speed and proficiency achieved. We present a sys...

One important application of Body Sensor Networks is action recognition. Action recognition often implicitly requires partitioning the sensor data into intervals, then labeling the partitions according to the actions each represents or as a non-action. The temporal partitioning stage is called segmentation and the labeling is called classification. While many effective methods exist for classif...

The need for detailed simulation of integrated circuits has received significant attention since the early stages of design automation. Given the increasing device integration, these simulations have extreme memory footprints, especially within unified memory hierarchies. This paper overcomes the infeasible memory demands of modern circuit simulators. Structural partitioning of the netlist and ...

In this paper, we present a methodology for human action recognition from a sequence of depth maps obtained using Microsoft Kinect. Specifically, we use a Temporal Bag-of-Words model as representation scheme to capture the variation of features across the temporal domain. Our methodology builds the Temporal Bag-of-Words model on top of the spatiotemporal features extracted from interest points....

Lack of appropriate compilers for generating configurations and their scheduling is one of the main challenges in the development of reconfigurable computing systems. In this paper, a new iterative design flow for reconfigurable computing systems is proposed that integrates the synthesis and physical design phases to perform a static compilation process. We propose a new temporal partitioning a...