Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
— Auditory capabilities would allow small robots interacting with people to act according to vocal cues. In our recent work, we have demonstrated AUDIBLE, an auditory system capa...
We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account ...
Xavier Boix, Gemma Roig, Horesh Ben Shitrit, Pasca...
Background: For ecological studies, it is crucial to count on adequate descriptions of the environments and samples being studied. Such a description must be done in terms of thei...