Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using embedded function with a deep network. One of the methods includes receiving an input comprising a plurality of features, wherein each of the features is of a different feature type; processing each of the features using a respective embedding function to generate one or more numeric values, wherein each of the embedding functions operates independently of each other embedding function, and wherein each of the embedding functions is used for features of a respective feature type; processing the numeric values using a deep network to generate a first alternative representation of the input, wherein the deep network is a machine learning model composed of a plurality of levels of non-linear operations; and processing the first alternative representation of the input using a logistic regression classifier to predict a label for the input.

Abstract: An apparatus for and method of developing fingerprints on an object by cyanoacrylate fuming. The apparatus includes a container having a chamber, an opening to the chamber and a mechanism for evacuating air from the chamber. The apparatus also includes a cover for hermetically sealing the opening, an exposed upper surface in the chamber for receiving drops of cyanoacrylate and an electrical heater for heating the exposed upper surface. More specifically, the electrical heater is located in the chamber and supports a receptacle which has the exposed upper surface. The electrical heater has an electrical cord that extends through an airtight fixture which is attached to the cover.