We propose simple parameter-free models that predict how people learn environmental cue contingencies, use this information to measure the usefulness of cues, and in turn, use these measures to construct search orders. To develop the models, we consider a total of 8 previously proposed cue measures, based on cue validity and discriminability, and develop simple Bayesian and biased-Bayesian lear...

Marker-based image segmentation has been widely used in image analysis and understanding. The well-known Meyer’s marker-based watershed algorithm by immersion is realized using the hierarchical circular queues. A new marker-based segmentation algorithm relying on disjoint set union is proposed in this paper. It consists of three steps, namely: pixel sorting, set union, and pixel resolving. The ...

Recent research demonstrates young children are particularly sensitive to how samples are generated (Xu & Tenenbaum, 2007). For example, children readily adjust their inferences in response to violations of intentional sampling (e.g., näıve and accidental sampling). However, even well-reasoned intentional sampling processes can be perturbed by external contextual factors, such as an interruptio...

Sensor network applications commonly require sensor data to be periodically collected. Aggregation protocols can make this process considerably more efficient. This paper considers the problem of devising aggregation protocols for applications that must achieve as “real-time” a view of the monitored area as possible, entailing a high sampling rate and a low data collection delay, at the possibl...

A traditional view of statistics is that it is numerical detective work. An important part of this detective work is the collection of the data which will form the basis of inferences and action. Selecting a sample is a key activity in statistics. If the data collected are defective in some way for instance, because of bias then the inferences and actions based on them can be seriously flawed. ...